Finalists Semifinalists Shortlists

The Case Builds

Disrupt the Incumbents

IN PARTNERSHIP WITH ZERODHA

In 2025, we launched India's first case-build competition, challenging students across the country's top colleges to choose a real-world incumbent company and disrupt it with an AI-led business and product strategy.

1084 teams from 127 colleges—spanning business, engineering, humanities, and law—took on the challenge.

Below are some of the best submissions, complete with their strategies and working prototypes.

1,000+ student teams challenged India’s biggest companies using AI

Find out how

1000+

participants

300+

Teams

70+

Colleges

The Winner

After three months of battle, IIM Ahmedabad's A team stood alone at the finale — winners of Case-Build 2025 and ₹10 lakh in cash prize.

The A Team is Disrupting:

Narayana Health

Their Strategy

We turn expensive hospital bed-days into data-rich, AI-orchestrated home days, all packaged within a single, guaranteed-price treatment episode.

Indian Institute of Management, Ahmedabad
Muskaan Bhalotia Muskaan Bhalotia
Jitesh Agrawal Jitesh Agrawal
Vyush Agarwal Vyush Agarwal
The A Team Project

Their Case for Disruption

Narayana Health mastered low-cost, high-volume procedures but their financial model remains tethered to bed-days. Revenue, processes, and technology optimize for inpatient care while insurance models shift toward valuing entire patient journeys. Manual workflows in post-discharge care create massive value leakage that legacy systems can't address.

Their Solution

A B2B platform combining AI episode-pricing with Hospital-at-Home service. Fixed-price, risk-sharing contracts enable early discharge for post-surgical patients and complete at-home care for acute conditions. Virtual wards reduce Narayana's costs, free bed capacity, and create proof-of-concept to secure insurer contracts that steer volume toward bundled-care networks.

Finalists

After several rounds of competition, these top 10 teams made it to the grand finale to pitch their disruption strategies to an elite panel of judges for a prize of ₹10 lakh.

After several rounds of competition, these top 10 teams made it to the grand finale to pitch their disruption strategies to an elite panel of judges for a prize of ₹10 lakh.

The B Team is Disrupting:

Cyril Amarchand Mangaldas (CAM)

Their Strategy

An AI legal agent that keeps Indian businesses compliant in real time — cutting legal costs by 50%, reducing manual lawyer dependency, and preventing disputes before they arise.

Indian Institute of Management, Bangalore
Priyam Rajput Priyam Rajput
Nikhil Bhasin Nikhil Bhasin
Mohammad Nuruddin Shaikh Mohammad Nuruddin Shaikh
The B Team Project

Their Case for Disruption

Cyril Amarchand Mangaldas generates ₹1,200+ crore annually but their billable-hour, partner-pyramid model caps scalability and disincentivizes automation—efficiency cuts revenue. Elite corporate focus leaves India's 70 million MSMEs unserved. Cultural inertia, confidentiality concerns, and minimal tech integration prevent rapid experimentation while smaller firms already adopt AI tools.

Their Solution

An AI Legal Agent that automates compliance monitoring, contract drafting, and due diligence—integrating with company systems to surface risks before disputes arise. Target high-compliance industries (fintech, manufacturing, F&B). Partner with Tier-2 firms to validate modules, then scale to Tier-1 clients. 50% cost reduction with real-time compliance versus CAM's reactive billable hours.

The Golden Snitch is Disrupting:

Elevenlabs

Their Strategy

We are disrupting the generalized TTS market by building an AI-first localization infrastructure that utilizes specialized, real-time, and context-aware models embedded directly into the professional media workflow assuring the quality output.

Chitkara University, Punjab
Kaushal Sethi Kaushal Sethi
Deepasha Deepasha
Sahil Thakur Sahil Thakur
The Golden Snitch Project

Their Case for Disruption

ElevenLabs dominates AI voice synthesis but its batch inference engine can't support real-time dubbing for live media. The API-centric approach yields insufficient fidelity for professional use, requiring costly manual quality assurance. Lack of regional AI stack and certified identity frameworks expose regulated clients to deepfake risks, creating low switching costs.

Their Solution

An end-to-end AI Voice Transmission Infrastructure embedded directly into Adobe/DaVinci workflows. Streaming inference enables ultra-low latency real-time dubbing. Contextual emotion models powered by LLMs achieve scene-accurate performance. Guaranteed fidelity features like lip sync and native speaker control eliminate manual QA, reducing labor costs by 50% for APAC OTT clients.

Project Zero is Disrupting:

Myntra

Their Strategy

Merging AI-led outfit-first fashion discovery with instant try now pay later trials. Scroll Try Style!

BITS Pilani
Ankur Soni Ankur Soni
Pratham Sonawane Pratham Sonawane
Sannidhya Agrawal Sannidhya Agrawal
Project Zero Project

Their Case for Disruption

Myntra dominates India's $11B online fashion market but suffers from high returns (1 in 3 items) low basket sizes (1.2 items despite 8.5-minute sessions) and pay-first friction that reduces purchases. Their keyword search creates buyer fatigue instead of styled discovery and delivery fees discourage repeat trial purchases.

Their Solution

An AI-led fashion platform with Pinterest-style visual feeds showing complete outfits not individual items. Try at ₹0 delivers outfits within 60 minutes—customers pay only for what they keep. Personalized recommendations across brands through quiz data and scrolling behavior replace Myntra's search-based discovery with instant styled looks.MU Disruptors

MU Disruptors is Disrupting:

Zerodha

Their Strategy

Make investing effortless and trustworthy in local languages by replacing complex screens with a compliant, voice-first process coach-no advice, just step-by-step help.

Masters' Union School of Business
Pranjal Kapur Pranjal Kapur
Avinash Murali Avinash Murali
Sidhant Patnaik Sidhant Patnaik
MU Disruptors Project

Their Case for Disruption

Zerodha redefined broking with zero fees but its English-heavy UX intimidates Tier-2/3 India's next 50-100 million investors. Dense screens and chart-heavy interfaces create barriers for vernacular users. F&O regulatory tightening reduces trading volumes, pushing need for broader participation that Zerodha's current product can't capture in non-English markets.

Their Solution

A voice-first, multilingual "process coach" in Hindi and regional languages that guides users through KYC, funding, and SIPs—no financial advice, just step-by-step help. Distribution through Tier-2/3 partnerships (CSCs, NBFC branches, local influencers) with WhatsApp entry points. Win by removing fear and teaching steps, not stocks.

The Gladiators is Disrupting:

Motilal Oswal

Their Strategy

We're turning Motilal Oswal's elite wealth model into an AI-powered, affordable family office for India's middle class.

Indian Institute of Management, Calcutta
Prannay Kedia Prannay Kedia
Somya Tiwari Somya Tiwari
Vidhi Gupta Vidhi Gupta
The Gladiators Project

Their Case for Disruption

Motilal Oswal Private Wealth represents India's wealth paradox—world-class advice for the top 0.01%, confusion for everyone else. Their high-touch, human-led model depends on costly relationship managers and can't scale. Portfolios are templated unless you qualify for family-office treatment at ₹1 crore minimum, leaving 15-20 million middle-class households ignored.

Their Solution

An AI-native family office that automates portfolio construction, tax planning, and estate management at 1/50th the cost. Using Account Aggregator data, AI models quantify each household's risk and income trajectory to deliver personalized, fiduciary-grade advice. Subscription-only model eliminates commissions, transforming wealth management from premium service into scalable utility.

Indomitus is Disrupting:

Traditional Temple economy

Their Strategy

To replace the chaos of the traditional pilgrimage with a single, AI-powered platform dedicated to making the devotee's journey seamless and temple's operations efficient & data-driven.

Indian School of Business
Rhea Bagla Rhea Bagla
Vatsal Kothari Vatsal Kothari
Vishva Adhia Vishva Adhia
Indomitus Project

Their Case for Disruption

The traditional temple economy is fragmented and technologically stagnant—independent trusts resistant to change, unable to innovate at scale. Opacity in donations, unfair darshan allocation, inefficient queue management, and devotee reliance on disconnected middlemen create poor experiences. No cohesive response to technology means perfect opportunity for transparent, user-focused disruption.

Their Solution

A Unified Pilgrimage Operating System (UPOS) with B2B2C approach. Temples get free AI-driven dashboards managing queues, digital donations, and analytics. Devotees get a single app aggregating all temples for seamless journey planning and booking. Launch with 5-10 mid-sized temples to validate, then scale across India creating network effects.

Pivot is Disrupting:

Delhivery

Their Strategy

We'll weaponize AI-driven predictive logistics to deliver 20x faster at 60% lower cost in underserved Tier-2 markets, then leverage merchant financing and autonomous delivery to capture enterprise accounts Delhivery's legacy infrastructure cannot defend.

Symbiosis School of Economics
Achyut Karn Achyut Karn
Akshat Jain Akshat Jain
Saanvi Mahajan Saanvi Mahajan
Pivot Project

Their Case for Disruption

Delhivery's 20%+ market share runs on legacy hub-and-spoke infrastructure requiring 3-5 touchpoints per parcel. 15,000+ franchise partners create inconsistent service and 36-hour delivery windows. Their optimization-based routing is reactive, not predictive. Asset-heavy model can't economically serve hyperlocal demands or achieve sub-4-hour delivery that specialized players now offer.

Their Solution

VeloGrid—an AI-native, asset-light platform collapsing delivery from 36 hours to 90 minutes through predictive route optimization and gig-fleet orchestration. Dominate hyperlocal D2C in Tier-2 cities where Delhivery's hub density fails. Launch AI-powered merchant financing, then deploy autonomous last-mile vehicles achieving ₹8/parcel economics versus Delhivery's ₹32.

Team Power Rangers is Disrupting:

CBRE

Their Strategy

An AI powered commercial real estate platform that automates discovery, valuation and management to make property transactions faster, smarter, and cheaper than CBRE's manual model.

Indian Institute of Management, Lucknow
Sakshi Adlakha Sakshi Adlakha
Chaitanya Gupta Chaitanya Gupta
Vasu Aggarwal Vasu Aggarwal
Team Power Rangers Project

Their Case for Disruption

CBRE dominates commercial real estate with $35B annual revenue but relies on thousands of brokers manually handling transactions. This human-intensive model limits scalability and speed in a world moving toward data-driven decisions. Office vacancy at historic highs reduces margins while bureaucracy slows AI adoption, leaving room for tech-first challengers.

Their Solution

An AI-driven platform that automates end-to-end commercial real estate—site selection, valuation, leasing, and property management. Using generative AI and predictive analytics, it instantly matches tenants and owners, summarizes contracts, and forecasts asset performance. Subscription-based access targets underserved mid-market clients at significantly lower costs than CBRE's brokerage fees.

KenVergence is Disrupting:

Eklavvya

Their Strategy

Transform grading from a mechanical correction process into an intelligent, feedback-driven learning ecosystem that evolves with every student submission.

Masters' Union School of Business
Akash Maurya Akash Maurya
Madhur Maheshwari Madhur Maheshwari
Shreya Shreya
KenVergence Project

Their Case for Disruption

Eklavvya automates MCQ grading through OCR but fails at India's largest unautomated component—handwritten, subjective assessments requiring stepwise evaluation. Their framework is transactional, not pedagogical. It grades papers but doesn't help students improve, lacking integration with adaptive learning systems that schools and universities increasingly demand.

Their Solution

A hybrid AI model combining vision, language understanding, and educator-defined rubrics to evaluate handwritten answers step-by-step. Teachers define model answers and mark distributions; AI matches student intent, assigns marks, and generates personalized improvement recommendations. Mock test generation from model answers creates continuous feedback loops, making the platform indispensable to evaluators and learners.

Semifinalists

These top 100 teams were selected by a panel of expert judges at The Ken, who reviewed every submission to identify the standouts. This round required more than just creating business plans or articulating a strategy.

Teams have to create landing pages and working prototypes to show exactly how they'd disrupt their chosen incumbents, bringing their ideas to life.

CBRE(19) Narayana Health(18) Zerodha(8) McKinsey(4) Workday(3) Larsen & Toubro (L&T)(2) MakeMyTrip(2) Qure.ai(1) Apollo Hospitals(1) Bajaj Finance(1) Cyril Amarchand Mangaldas (CAM)(1) Gap Inc.(1) District Courts(1) Ogilvy(1) APMC Agent Network(1) Ipsos(1) Razorpay(1) upGrad(1) Star Health & Allied Insurance(1) Dezerv(1) Match Group(1) Synopsys(1) LocoNav(1) PharmEasy(1) Khaitan & Co.(1) Coursera(1) PhysicsWallah(1) Instagram(1) WedMeGood(1) IQGeo(1) NielsenIQ(1) HDFC Securities(1) Anatomage Inc.(1) Anatara(1) Upwork(1) Nykaa(1) Bosch(1) Grant Thornton Bharat(1) General Insurance Council(1) Practo(1) Indiamart(1) BookMyShow(1) Zillow Group(1) Hotel chains(1)

AAA Battery is Disrupting:

Qure.ai

Their Strategy

We use AI to automate reporting and optimize hospital workflows, turning radiology bottlenecks into smooth patient experiences.

Crucible Institute of Management
AAA Battery Project

Their Case for Disruption

Although Qure.ai's extensive government partnerships for TB, COVID-19, and stroke screening are its main strength, this success also makes its system more standardised and less flexible for routine hospital use. Its models are not intended for real-time reporting workflows, but rather for population screening. Doctors still manually type, format, and verify reports even though Qure.ai identifies findings. This process is furthered by our AI, which produces voice-driven, structured reports that are doctor-specific as soon as scans are completed. It can help both government programs and mid-tier hospitals by bridging the gap between mass screening and daily clinical reporting because it works offline and integrates easily with current PACS systems.

Their Solution

Our strategy is to move from detection-only AI to full reporting and workflow automation. Instead of stopping at identifying abnormalities, our system generates provisional reports, formats them according to each radiologist’s style, and integrates seamlessly with existing PACS setups. It triages urgent cases, transcribes voice inputs in Indian accents, and supports multiple languages. We’ll scale through partnerships with diagnostic vendors, private chains, and government hospitals alike ,offering a lightweight, affordable, plug-and-play model. While Qure.ai focuses on disease detection for large screening programs, we’ll focus on end-to-end hospital reporting that saves time, improves accuracy, and retains patients.

Agoracre is Disrupting:

CBRE

Their Strategy

We transform illiquid commercial buildings into continuously tradable, AI-priced, data-rich digital assets.

Masters' Union School of Business
Agoracre Project

Their Case for Disruption

Legacy incentives: CBRE’s revenue model rewards manual brokerage, not automation. Data silos: Building, lease, and tenant data are fragmented across clients, stifling network-level learning. Operational inertia: 100k+ employees, regional silos, and compliance layers limit rapid experimentation. Externally, global CRE debt maturities (>$2.5 T by 2026) and falling valuations heighten the need for digital liquidity solutions. Landlords and funds, under pressure to deleverage, will adopt any compliant, AI-enabled model that improves yield or exits faster. CBRE’s scale makes such shifts slow and politically expensive.

Their Solution

We launch AgoraCRE, a three-layer AI platform: (A) Digital Twin Layer — integrates BIM, IoT, and lease data to form a standardized live asset model. (B) AI Marketplace — predicts rent/yield, automates lease drafting, and matches tenants to spaces using multimodal embeddings. (C) Tokenized Liquidity Layer — fractionalizes ownership through regulated security tokens, enabling 24×7 secondary trading. Revenue streams: SaaS (operations + analytics), issuance fees (tokenization), and trading commissions (secondary market). Initial focus: logistics parks and life-science labs, where digitization yields >20 % ROI in asset utilization.

AlgoWorks is Disrupting:

Apollo Hospitals

Their Strategy

Our strategy is to disrupt Apollo Hospitals by integrating NPCI-backed POS systems with prior authorization workflows, creating a unified, data-driven healthcare payments network that delivers faster approvals, transparency, and operational efficiency.

S.P. Jain Institute of Management and Research
AlgoWorks Project

Their Case for Disruption

Despite its strong brand and digital leadership, Apollo Hospitals is still at risk of disruption due to scattered data systems, high administrative costs, and limited compatibility among insurers, pharmacies, and diagnostic units. The manual and time-consuming prior authorization process slows down reimbursements and frustrates patients. New digital-first healthcare providers, insurtechs, and AI-driven telehealth platforms challenge Apollo’s dominance by providing quicker, more affordable, and clearer service models. Without an integrated payments and authorization system, Apollo risks losing both operational speed and patient trust in a market that is quickly shifting toward data-driven, value-based healthcare systems.

Their Solution

Our strategy to disrupt Apollo Hospitals focuses on redefining prior authorization with a POS-integrated data layer that connects insurers, providers, and Pharmacy Benefit Insurers (PBMs) in real time. By including NPCI-backed payment systems in the authorization workflow, we remove administrative delays, allow instant insurer validation, and automate copay settlements. This creates a clear, data-driven ecosystem where patients receive faster approvals, insurers cut down on fraud, and providers get useful insights. The resulting connected healthcare payments network challenges Apollo’s traditional claims model, positioning the platform as a scalable, interoperable, and insight-rich option for India’s changing healthcare landscape.

APA is Disrupting:

Bajaj Finance

Their Strategy

We aim to revolutionize digital lending by using human behavioural discipline as the core metric for creditworthiness and rewarding responsible borrowers with better terms using AI-driven scoring.

Indian Institute of Management, Shillong
APA Project

Their Case for Disruption

NBFCs in India often rely heavily on traditional credit scores, overlooking behavioural insights and excluding thin-file or new-to-credit borrowers. This limits financial inclusion. Additionally, most NBFCs underutilise AI, deploying static models that merely enhance operational efficiency rather than drive innovation. In contrast, emerging neo-lenders leverage advanced AI for hyper-personalised experiences, setting new benchmarks in customer engagement. Without embracing AI’s full potential, NBFCs risk falling behind in serving digitally hesitant and underserved segments effectively.

Their Solution

Our strategy is to use human behaviour as a primary factor to assess creditworthiness, implying the disbursal of loans to more disciplined individuals, thereby improving the likelihood of repayment as well. We shall reward disciplined customers with better lending terms, by enabling users to securely share their own behavioural data, transforming their digital discipline into a trusted credit profile. This will offer hyper-personalization at scale and provide us with a first-movers advantage in AI-based discipline scoring.

Apex is Disrupting:

Cyril Amarchand Mangaldas (CAM)

Their Strategy

Disrupt CAM by changing its billable-hour model into an AI-powered, subscription-based legal intelligence platform that offers faster, cheaper, data-driven legal outcomes.

Indian Institute of Management, Sambalpur
Apex Project

Their Case for Disruption

CAM's areas of vulnerability are deeply embedded in the company culture and structural inertia. The law firm's partnership structure facilitates compensating members of the firm according to the hours they have billed, rather than on a basis of efficiency, thereby discouraging the adoption of automation or AI. Consequently, the firm's operating costs - lavish offices, multiple managerial levels, and payment to senior partners - are very high, which leaves no room to cut prices. However, clients have come to expect lawyers to be more transparent, predictable, and quicker in their services. At the same time, 77% of document review and 74% of legal research can be automated. The combination of CAM's old-fashioned systems, and conservative outlook has made them incapable of change within a reasonable time frame. The internal tensions convert the situation into a jackpot, wherein an AI-first, remote-first firm can reduce costs by 40–60%, while at the same time, gaining advantageous speed and insight

Their Solution

Our strategy is to launch an AI-first legal services platform that takes care of the reviews, research, and compliance monitoring—reducing the processing time of the case by 50-70%. We are going to use our own natural language processing models that are based on Indian law to provide legal intelligence that is based on facts, not just opinions. The business model will be based on a subscription or outcome-based pricing which will replace the billable hours. This model will attract startups, SMEs, and corporate legal departments. A remote-first organization ensures cost efficiency which allows aggressive pricing while keeping up the profitability . By putting together fast, inexpensive, and continuous insights, we will change the definition of “value” in the legal services area—hence making CAM’s traditional model unfit for the future.

Astute Allies is Disrupting:

McKinsey

Their Strategy

Create a continuous consulting platform powered by AI agents that offers consultative strategic insight quality comparable to McKinsey for 5-10% of the cost, with a 48-hour turnaround time and charged on a usage-based pricing model, helping facilitate real-time implementation tracking and negate the shelf-report issue for the underserved mid-market audience.

Indian Institute of Management, Ahmedabad
Astute Allies Project

Their Case for Disruption

McKinsey's weaknesses are inherent and structural. For starters, the labor-heavy system has limited options for scaling beyond adding cost and overhead through increasing costly headcount. Second, fixed-fee engagements calculated on hours promote slow speed to value rather than efficiency. Third, commoditization of knowledge has diminished proprietary value insight. Frameworks, Porter's FiveForces are publicly accessible, and the same data sources that consultants use are available through AI. Fourth, project engagements over months, relegate recommendations to outdated value in a fast-volume world. Finally, incumbent advantage becomes a disadvantage, McKinsey cannot embrace AI-first models aggressively without dismantling its revenue generation of $16 billion.

Their Solution

Introduce an AI-native consulting platform tailored to the underserved SMB/mid-market sector (200-1000 employees) ignored by McKinsey. Implement autonomous AI agents powered by GPT-4o and Claude 4 that constantly provide strategic recommendations at 5-10% of McKinsey's price since it is usage-based pricing ($5K-$50K/year vs. $500K-$1M per engagement). The platform combines real-time intelligence, automated-assessments, and tracking of implementation, solving the shelf-report issue with a method of engagement. Human expert consultants oversee and refine higher-touch strategy suggestions for a more hybrid model that will cooperate for McKinsey-like observations with independent consultant economics. Key for us is speed-to-value: strategy recommendations within hours to weeks.

AuditMeDaddy is Disrupting:

Zerodha

Their Strategy

We will disrupt Zerodha by creating an AI-driven, emotionally intelligent trading platform that transforms impulsive retail investors into disciplined, data-informed decision makers.

Loyola College
AuditMeDaddy Project

Their Case for Disruption

Zerodha’s strength, its minimalist, self-directed model, is now its greatest weakness. It assumes rational traders who can interpret markets without guidance. In reality, users drown in data, trade impulsively, and lack personalized insights. The platform’s refusal to integrate predictive AI or behavioral analytics leaves an open gap for emotionally aware, adaptive systems. Its trust is built on transparency, not intelligence, and its UI is efficient but static. As fintech evolves toward autonomy and personalization, Zerodha’s “do-it-yourself” philosophy feels outdated. In a market demanding smarter, more intuitive financial guardians, Zerodha’s deliberate simplicity becomes a strategic blind spot ripe for disruption.

Their Solution

Our strategy is to outthink, not outspend, Zerodha by building the world’s first emotionally intelligent trading platform. Instead of competing on brokerage fees or speed, we will redefine the purpose of a trading app, transforming it from a transaction tool to a cognitive co-pilot. Our AI analyzes behavioural patterns, emotional triggers, and risk habits to prevent impulsive decisions before they happen. It learns each user’s psychology and enforces discipline through adaptive nudges and self-auditing transparency. By aligning user well-being with profitability, we will rebuild trust and loyalty where Zerodha’s neutrality ends, transforming emotional volatility into a defensible, data-driven advantage.

Bimites is Disrupting:

Gap Inc.

Their Strategy

We’ll replace Gap’s slow “forecast and sell” model with an AI-powered “sense and make” ecosystem that’s circular, data native, and co-created with consumers.

Bharathidasan Institute of Management
Bimites Project

Their Case for Disruption

Gap’s strength ‘scale’ has become its biggest weakness. Long design cycles, centralized production, and uniform aesthetics no longer resonate with Gen Z’s need for personalization. Inventory pile-ups and markdown-heavy sales reveal forecasting inefficiencies. Despite sustainability messaging, its linear supply chain lacks traceability and agility. In contrast, new-age AI-driven brands sense and respond to consumer sentiment in real time. Gap’s legacy IT systems, siloed data, and risk-averse culture prevent that agility. The future belongs to brands that create with consumers, not for them and Gap’s structure makes such co-creation nearly impossible without a ground-up reinvention

Their Solution

Our strategy “AI-to-Fabric” converts global cultural signals into hyper-local fashion. Generative AI scans social trends, climate data, and creator inputs to design capsule drops in hours. On-demand manufacturing via regional micro-factories ensures zero overstock. Blockchain-backed traceability embeds sustainability into every SKU. A feedback loop connects data from wearers, resale, and recycling into future designs turning waste into raw input. The result is a living fashion ecosystem fast, circular, and personal. Where Gap relies on seasonal predictability, we thrive on dynamic adaptability powered by continuous intelligence

BITS Pitchers is Disrupting:

CBRE

Their Strategy

We use AI trained on 100,000 workplace studies to guarantee 25% lower employee attrition through optimized office design, or refund our fee, stealing CBRE's Fortune 100 clients who demand ROI certainty, not subjective consulting reports.

BITSOM
BITS Pitchers Project

Their Case for Disruption

CBRE's business model inertia. Workplace consulting generates high-margin revenue through subjective recommendations without performance guarantees; changing this cannibalizes existing cash flows. Deepak Dewani admitted CBRE must "shake things up, including their own business model," but internal politics prevent radical change. Their consultants fear guarantees (risk of refunds), their legal team resists liability, and their 120-year-old culture moves slowly. Meanwhile, CFOs increasingly demand ROI proof for office investments. CBRE publishes research proving space impacts retention but won't guarantee outcomes. This creates a wedge: an AI-first entrant can offer guaranteed attrition reduction, stealing CBRE's most valuable clients who need certainty, not reports.

Their Solution

We launch ReYield: the first workplace consulting service guaranteeing 25% attrition reduction or full refund. Our AI analyzes floor plans, badge swipes, and sensor data against 100,000+ workplace studies to generate Spatial Friction Heatmaps identifying where poor design (noise, light, or layout) causes employees to quit. We prescribe specific, low-cost fixes such as adding phone booths, relocating teams, and optimizing meeting rooms with predicted ROI. For a 500-person company at 22% attrition, we guarantee reduction to 16.5% within 12 months, saving ₹3.96Cr for a ₹30L fee. Our 87% AI accuracy makes guarantees profitable; CBRE cannot match this without cannibalizing their model.

Brew up is Disrupting:

CBRE

Their Strategy

Replace CBRE's fragmented, delay-prone service model with an AI-native platform that delivers instant property valuations, automated transactions, and unified data intelligence at 90% lower cost.

Mesa School of Business, Bengaluru
Brew up Project

Their Case for Disruption

CBRE operates on fundamentally broken architecture: data silos across 30+ systems, manual processes causing 51-day average delays, and a service-heavy business model dependent on inefficiencies for profit. Their 115,000 employees are organizationally locked into legacy workflows that generate the 6-8% friction costs clients hate but CBRE needs for revenue. They've invested in AI (Ellis platform) but can't cannibalize their core business model without destroying profitability. Classic innovator's dilemma: they're trapped by success in outdated processes while new technology makes their entire approach obsolete. They're optimizing horse-drawn carriages while the world moves to automobiles.

Their Solution

Build "PropertyOS" - the first AI-native unified operating system for commercial real estate that eliminates CBRE's fundamental inefficiencies. Our three-pronged attack: (1) Real-time market intelligence engine providing instant property valuations vs CBRE's 3-month delays, (2) AI-powered transaction automation reducing costs 90% through smart contracts and document processing, (3) Unified data platform replacing 30+ fragmented tools with single AI-orchestrated solution. Start with underserved small-medium businesses CBRE ignores, then attack their dissatisfied enterprise clients. Platform economics (90%+ margins) beats service economics (labor-heavy costs). Technology-first approach vs relationship-dependent model creates insurmountable speed and cost advantages

broKen is Disrupting:

District Courts

Their Strategy

We use data to spot court cases that could be settled through arbitration instead, then automate the scheduling and paperwork so arbitrators can handle more cases faster.

BITS Pilani
broKen Project

Their Case for Disruption

The sheer volume of civil cases that can be privately arbitrated weighs on district courts and causes them severe inefficiencies. Technically hiring more judges would solve this issue, but appointments are controlled by the state governments and high courts, introducing red tape and hindering their ability to manage the workload. However, private arbitrators can capture a lot of this case load, as they can just be appointed by the opposing parties in a civil dispute.

Their Solution

We examine existing pendency in district courts to identify cases that can be solved by private arbitration by predictive data analytics over the kind of cases that arbitration is most likely to resolve historically. We are better poised to handle scale schedule cases using efficiency algorithms based on party, arbitrator and counsel availability, as well as empowering arbitrators to handle larger case loads through automating most processes.

Case Crackers is Disrupting:

Ogilvy

Their Strategy

We will build an AI-powered advertising co-pilot that offers an end-to-end, performance-based alternative to Ogilvy's high-overhead, traditional agency model.

Indian Institute of Management, Bangalore
Case Crackers Project

Their Case for Disruption

Ogilvy’s structure is hierarchical, people-heavy, and fee-based which creates inertia. Its global processes reward scale, not speed. Campaigns still move through layers of creative directors, planners, and account leads before execution. Clients now demand micro-campaigns tailored to audiences that shift daily across platforms like TikTok, YouTube Shorts, and Threads. Ogilvy’s dependence on legacy creative workflows leaves it slow to adapt. Its margins depend on billable hours, while AI-native firms scale nonlinearly. The creative moat of “taste and intuition” is shrinking as models like GPT-5 and Sora match human-level brand storytelling.

Their Solution

Our strategy is to launch AIDEN (Artificial Intelligence for Dynamic Engagement Networks) an AI-native SaaS platform that replaces the traditional agency assembly line with a closed, self-learning creative feedback loop. AIDEN inputs real-time brand data, competitor ads, and social sentiment to autonomously generate, test, and optimize campaigns. Each project is co-created by humans for context and by AIDEN for scale, enabling hyper-personalized storytelling at one-tenth Ogilvy’s cost. Clients can manage creative production, ad spend, and performance optimization end-to-end through a single dashboard. The usage-based, performance-linked pricing makes high-quality accessible, transparent, and infinitely scalable, which is something Ogilvy cannot replicate.

Catch Me If You Ken is Disrupting:

Narayana Health

Their Strategy

We’ll own the “before-care” layer of healthcare with an AI dashboard that predicts, prevents, and personalises risk (while guiding users toward timely intervention and reducing unnecessary hospital dependence) long before Narayana Health’s hospitals ever enter the picture.

Indian Institute of Management, Calcutta
Catch Me If You Ken Project

Their Case for Disruption

Narayana Health’s physical infrastructure and integrated operations are its strength, but also its Achilles’ heel. Its systems are optimised for reactive care, not dynamic, continuous, personalised engagement. The company lacks real-time insight into users’ daily health contexts, wearable data, or preventive signals. Its hospital-first culture and regulatory complexity slow innovation and limit AI agility. As healthcare consumerization accelerates, trust and loyalty shift from hospitals to everyday digital health companions. NH’s existing tech stack (Athma) is focused on clinical efficiency, not lifestyle personalisation, leaving an open field for agile AI-first entrants to own the preventive and behavioural layer.

Their Solution

We’ll build an AI Health Context Dashboard, a personal health co-pilot integrating wearables, environment, genetics, diet, and family history to deliver daily risk scores and actionable nudges. Our strategy is to intercept users before illness, becoming their primary health interface and owning the pre-care relationship. By combining AI prediction models with behavioural science, we create stickiness through personalised insights, micro-actions, and gamified milestones. Partnerships with insurers and teleconsult platforms will expand our reach and strengthen adoption. Each interaction enhances our AI models, creating a data network effect and intelligence moat that Narayana Health’s hospital-centric model cannot match.

Chyavanprash is Disrupting:

APMC Agent Network

Their Strategy

Agri-Swaraj will deploy an Agentic AI platform to disintermediate the APMC Agent Network, generating a scalable, low-take-rate business model that simultaneously secures 20%+ net income lift for smallholder farmers and unlocks billions in highly efficient, traceable Gross Transaction Value for institutional buyers.

S.P. Jain Institute of Management and Research
Chyavanprash Project

Their Case for Disruption

The Arhatiyas (APMC agent) network's vulnerability lies in its complete reliance on structural friction and digital poverty. Their strength, hyper-localized, personal trust built on cash-based, informal debt, is simultaneously their greatest flaw. They are vulnerable because: 1. They are not scalable: Their model depends on manual operations and is geographically bounded, offering zero defense against a mobile-first, Agentic AI. 2. They have a single point of failure (Information): Their power is derived from information asymmetry. Our AI provides perfect price transparency across all markets, instantly collapsing their bargaining leverage. 3. Their financing is mispriced: The high-interest, opaque credit they offer is instantly replaced by low-cost formal finance, enabled by our AI's verifiable digital collateral (land/yield data). They have no ability to vertically integrate technology or lower their own margins to compete.

Their Solution

Our strategy is the AI-driven unbundling of the Arhatiya’s bundled value proposition. We will deploy the Agentic AI (Vyapar-Mitra) to functionally replace the middleman's two core services. First, the AI will provide perfect market access, autonomously executing bids from institutional buyers across all national platforms to secure the highest possible net price. Second, the AI will enable instant formal credit, leveraging verifiable digital crop and land records to issue loans directly through bank partners. This strategy converts the farmer’s dependency into digital autonomy, offering a 15%−30% net income lift, a value proposition the incumbent cannot match.

Darpan Labs is Disrupting:

Ipsos

Their Strategy

Replace Ipsos’ slow, survey-based research with validated synthetic customer twins that deliver faster, cheaper, and integrated insights.

Indian Institute of Management, Ahmedabad
Darpan Labs Project

Their Case for Disruption

Ipsos depends on human-administered surveys, in-person interviews, and panel management. These methods take weeks, cost tens of thousands per study, and face declining response rates in India. Businesses now expect rapid insights that match product sprint cycles. Ipsos lacks proprietary digital infrastructure in India and relies on global processes that don’t adapt quickly to local needs. Clients are frustrated by long timelines and high costs compared with the speed of digital testing. This over-reliance on legacy survey models, combined with limited workflow integration with client product tools, makes Ipsos slow, expensive, and exposed to faster AI-native entrants.

Their Solution

We’ll disrupt Ipsos by replacing survey-led research with synthetic “customer twins” that simulate real user responses. Our product ingests CRM data, usage logs, and external signals to create dynamic models of Indian consumers. Instead of waiting weeks for surveys, clients get decision-grade answers in under 72 hours, integrated into Figma, Jira, or Confluence workflows. We’ll prove equivalence or superiority against Ipsos by running pilots with the same research brief and publishing accuracy and cost benchmarks. This wedge will allow us to chip away at Ipsos’ survey revenues and expand into adjacent insight categories over time.

Dhanvantri is Disrupting:

Narayana Health

Their Strategy

Our AI-driven care loop redefines diabetes management as a continuous, rewarding lifestyle transforming Narayana Health’s treatment first model into a prevention first revolution.

Indian Institute of Management, Ahmedabad
Dhanvantri Project

Their Case for Disruption

Narayana Health’s success is built on physical hospital infrastructure, which limits agility, data integration and scalability. Its care model still depends on episodic doctor visits and manual follow-ups, creating a gap between chronic condition management and real-time personalized care. The diabetic population increasingly seeks digital health tracking, AI-led insights and preventive insurance models, areas where Narayana Health lacks capabilities and data pipelines. The company’s traditional pricing and service structure cannot easily adapt to AI-driven continuous care models that rely on consumer data loops rather than hospital beds. This structural rigidity makes it vulnerable to an agile, AI-first disruptor.

Their Solution

With “Dhanvantri”, an AI-powered Diabetes HealthTech platform integrating CGMs, wearable fitness data and medication tracking. Using this continuous data, our AI models will predict health risk, progression stages and recommend personalized medication subscriptions, fitness programs and dynamic insurance premiums. Patients who maintain good metrics earn lower insurance costs and medical discounts. The model aligns incentives healthier patients pay less, and insurers save on claims. We’ll partner with insurers, pharmacies, and gyms to build a closed-loop ecosystem. As adoption scales, Narayana Health loses both diabetic patient inflow and insurance partnerships to our AI-first ecosystem.

Dhwasth is Disrupting:

Razorpay

Their Strategy

We're building the self-optimizing payment infrastructure that makes merchants more money by aligning our success with theirs—something Razorpay's volume-based business model and legacy architecture will never allow them to do.

Masters' Union School of Business
Dhwasth Project

Their Case for Disruption

Razorpay's vulnerabilities stem from legacy architecture and misaligned incentives. Their 2014 codebase can't support real-time AI optimization without a complete rebuild (18-24 months). Their 2% flat-rate model incentivizes transaction volume, not merchant success—they profit even when payments fail. With 3,000+ employees and 50+ product lines, organizational inertia prevents rapid innovation. Their enterprise focus abandoned SMBs, who get 48-hour support responses. Technical integration takes 2-4 weeks, requiring developer expertise they don't have. Most critically, improving payment success rates reduces their fee revenue, creating zero incentive to optimize. We profit only when merchants profit—our business model is our moat.

Their Solution

We're building Paisa AI, the self-configuring, self-optimizing payment infrastructure. Merchants describe their business in plain English; our AI configures the optimal payment stack in 3 minutes (vs. Razorpay's 2-4 weeks). Real-time intelligence routes transactions to best-performing gateways, predicts fraud, retries failures intelligently, and auto-adjusts based on customer behavior. Natural language configuration eliminates documentation: "Enable EMI for orders above ₹10K" just works. Our performance-based pricing (1.5% base, success rate guarantees) aligns revenue with merchant outcomes. We target Razorpay's ignored SMBs first—those drowning in documentation, suffering failed transactions, and overpaying for basic features. Our AI moat deepens with every transaction.

Disruptor Trio is Disrupting:

upGrad

Their Strategy

Build a multi-track, outcome-priced 'proof factory' that democratizes learning, converts AI-verified work into faster, surer hires.

Indian Institute of Management, Lucknow
Disruptor Trio Project

Their Case for Disruption

UpGrad’s moat is about brand, university partnerships, and marketing funnels, not hiring outcomes & verifiable skills. Economics depends on high tuition, long programs, and sales based on enrolment, all at risk of content commoditization, rising CAC, and completion fatigue. Outcomes are secondary, certificates are lazy indicators of performance. Operationally, mentor bandwidth and assessment quality don't scale linearly. A competitor that leverages an Agentic AI based model ecosystem & offers employer-verified work, pay-on-placement and guaranteed interview SLAs creates channel conflict for upGrad and shifts trust from brand to replayable proof, where their current systems cannot pivot.

Their Solution

Launch ProofPath, a multi-track micro-apprenticeship platform. We start with five tracks (Data Analyst, RevOps, Software Engineer, DevOps, Performance Marketing); move to ten within 12 months. Each track uses employer-sourced projects, an AI copilot ecosytem(coaches, grades to open rubrics, records history), and issues Verifiable Credentials (DigiLocker) bundled as a Skills Passport. Employers get ranked shortlists with replayable artefacts and 3–5 interviews in 15 days; they pay a success bounty per hire. Learning plans change from salary percentages to upfront assessment plans. Publish outcome dashboards; add vertical “skins” (Finserv/Retail/Logistics/Healthtech/SaaS) to deepen relevance.

Divergents is Disrupting:

Star Health & Allied Insurance

Their Strategy

Leveraging real-time health data and AI-driven risk scores to deliver preventive healthcare nudges along with personalized, usage-based insurance with smarter, cheaper premiums.

Indian Institute of Management, Ahmedabad
Divergents Project

Their Case for Disruption

Traditional health insurers like Star Health face disruption because their model is reactive, transactional and claims-focused, not proactive. They're hampered by rigid risk pools, manual underwriting, and delayed claims processing, offering little personalization or engagement beyond policy renewals. In contrast, AI-driven platforms capturing wearables and lifestyle data can continuously monitor health, dynamically price premiums for health care, predict risks early, and incentivize wellness with daily nudges. This technology allows for an ethical monetization of vast data. This transition from covering episodic illness to continuous health optimization creates a smarter, preventive insurance ecosystem, directly challenging the incumbents' static and vulnerable models.

Their Solution

Our strategy is to rebuild health insurance around prevention, personalization, and continuous engagement. Using data from wearables and other available medical records, our AI models will generate dynamic health scores that assess real-time risk and adjust premiums accordingly. Customers will pay usage-based or tiered subscription rates, enjoying cheaper coverage driven by accurate risk prediction and large-scale data analytics. Continuous monitoring and gamified wellness nudges will reduce claim incidences while improving customer loyalty. By combining affordability, proactive health management, and monetizable health insights, we’ll create a scalable, AI-first insurance model that traditional, claim-centric players like Star Health cannot match.

Episteme is Disrupting:

Dezerv

Their Strategy

Democratizing personalized Financial Planning and Portfolio Management

Indian Institute of Management, Ahmedabad
Episteme Project

Their Case for Disruption

Two structural gaps expose them to disruption. First, regulatory constraints keep them from directly serving investors with ₹0–50 lakh to deploy, they can only offer templated content or execution, leaving advice gaps. By operating as an advice-led agent, where we recommend and the client makes the final call, we can serve this mass-affluent segment compliantly, at scale. Second, their personalization is largely static - no real AI for intent detection, risk calibration or life-event context, just pre-made strategies and periodic rebalancing. That creates generic portfolios, poor tax/cash-flow fit and low engagement.

Their Solution

Our disruption play is the use of GenAI for risk profiling, and offering an end-to-end financial-planning agent. We hyper-personalize goals, cash-flows and risk profiles, then map them to dynamic, multi-asset portfolios, including underused fixed income and alternatives with tax- and liquidity-aware rebalancing. We win trust by “hand-holding from zero to fifty”, serving the ₹0–50 lakh segment incumbents under-serve, where advice is allowed though PMS isn’t. Clients receive guided diversification, behavioral nudges and progress tracking. As wealth crosses ₹50 lakh, they can continue paid planning or adopt a freemium, rules-based PMS overlay. This creates compounding engagement, measurable outcomes and switching costs incumbents’ static products can’t match.

Ffruits is Disrupting:

CBRE

Their Strategy

Use AI agents to deliver CBRE's site selection, lease management, and portfolio intelligence 10x faster at 1/10th the cost by targeting underserved mid-market clients they can't profitably serve.

S.P. Jain Institute of Management and Research
Ffruits Project

Their Case for Disruption

CBRE faces the classic innovator's dilemma. Their revenue model depends on billable hours and transaction fees that AI automation would eliminate—leadership can't justify destroying $35 billion in annual revenue to build a subscription platform. Culturally, suggesting AI can replace century-old client relationships threatens their entire workforce's identity. Operationally, their legacy IT systems and global coordination requirements mean technology changes take quarters, not weeks. They've invested heavily in AI, but only for incremental improvements that augment brokers rather than replace them. They're using AI to defend their moat while we're draining it entirely. Their data advantage is historical; we'll build predictive models using real-time signals.

Their Solution

We're building an AI-native commercial real estate operating system focused on execution speed. Our platform delivers site selection in 24 hours versus CBRE's 2-3 weeks, automated lease management with NLP document analysis, and real-time portfolio optimization—all through AI agents, not human consultants. We're targeting mid-market companies (Series B-D startups, flex office operators, regional chains) that CBRE underserves because they can't afford Fortune 100-level fees. Our cloud-native architecture ships features weekly versus CBRE's quarterly cycles. We operate with 90% lower personnel costs, enabling subscription pricing at 1/10th their cost while delivering 80% of their value through automation, not intermediaries.

Forge is Disrupting:

CBRE

Their Strategy

Turn India’s CRE advisory from people and PDFs into product and APIs, delivering instant AI-generated intelligence that breaks the commission model.

Masters' Union School of Business
Forge Project

Their Case for Disruption

CBRE’s revenues depend on commission-driven, analyst-heavy delivery. Brokerage fees in India typically range from 1–2% or higher, rewarding headcount and manual work rather than automation. The firm faces a classic innovator’s dilemma: launching low-cost automation risks cannibalizing its core business and demotivating fee-earners. Meanwhile, the raw materials of CRE insight—zoning PDFs, satellite imagery, mobility data, and permits—are increasingly digitized and can be analyzed by multimodal AI. A SaaS model that delivers explainable answers in minutes at a fraction of the cost directly undercuts their economics and compresses delivery times from weeks to minutes.

Their Solution

Atlas is an AI-native SaaS platform that replaces CBRE's analyst function with software. We ingest zoning PDFs, satellite tiles, transaction comps, GIS layers, and mobility data, then deliver instant predictive valuations, risk flags, and site selection shortlists. Here's how it works: our OCR and vision models process permits, zoning data, and satellite imagery to detect new supply through change detection. We then fuse all these inputs - text, imagery, and tabular signals - using multimodal models that unify disparate data sources into one coherent picture. Our LLM agents take this unified data and generate ranked recommendations complete with citations and maps, giving clients the analysis they need instantly. We deliver this through both API and dashboard on a per-city subscription basis. The key difference: we're not building a better brokerage - we're replacing the entire analyst function with software priced well below commission economics, something CBRE cannot match without undermining their core business model.RetryClaude is AI and can make mistakes. Please double-check responses.

Frontier Strategists is Disrupting:

Zerodha

Their Strategy

Aigis will leverage an AI first agent through a freemium model to deliver autonomous, explainable wealth management, transforming Zerodha’s anti-advice approach into its key vulnerability.

Lovely Professional University
Frontier Strategists Project

Their Case for Disruption

Zerodha is vulnerable due to the Innovator’s Dilemma, intensified by recent SEBI regulations. A SEBI study found that 91% of retail F&O traders lost money, leading to stricter measures like the ₹15 lakh minimum contract size, which is expected to reduce Zerodha’s trading volumes and revenue. This exposes a major weakness in its business model, which relies heavily on active trading activity. Moreover, Zerodha’s deliberate stance against offering advisory services and its resistance to algorithmic or AI-based guidance restrict its ability to adapt. These limitations create a clear opening for competitors to deliver fiduciary-level, technology-driven financial guidance.

Their Solution

Our strategy is to introduce Aigis, an AI-first platform designed to empower investors to navigate the market confidently. While Zerodha created the infrastructure with its zero-brokerage approach, it leaves users without personalized guidance. Aigis leverages Agentic AI to autonomously manage goal-based portfolios and Explainable AI (XAI) to deliver transparent, real-time, natural-language explanations for every investment decision. The platform will follow a freemium model, providing the full capabilities of our AI for a 28-day free trial. Afterward, users can continue with a low monthly subscription, transforming Zerodha’s limited guidance into an advantage for user acquisition and market disruption.

Grabit is Disrupting:

Match Group

Their Strategy

FATE transforms dating by blending AI-driven compatibility with real-world experiences through curated meetups, group activities, and hobby communities that turn digital matches into genuine human connections

Crucible Institute of Management
Grabit Project

Their Case for Disruption

Match Group is vulnerable because it no longer delivers what people actually want, real connection. Most users feel stuck in a cycle of swiping, chatting, and disappearing, with only about 2.5% of matches turning into long-term relationships. People join these apps hoping to find something meaningful but end up feeling more lonely and drained instead. Ghosting, fake profiles, and shallow interactions have made dating feel exhausting rather than exciting. Match Group’s apps are built to keep people scrolling, not connecting. That’s why the next big opportunity lies in bringing back authenticity, trust, and emotion to modern dating.

Their Solution

FATE is designed to make dating feel human again. It blends online discovery with real-world connection through FATE Rooms, where people meet naturally at cafés, concerts, or hobby-based gatherings. MeetCute Missions guide users toward safe, curated meetups that turn digital sparks into real moments — like a MeetCute at Nesco Garba, where people connect over shared energy, music, and culture. The platform also offers Group Dating and Interest Communities like pickleball, music, and travel to help people bond over common passions. Our AI-powered Vibe Score reads social behavior to suggest emotionally compatible matches. By focusing on chemistry, context, and community, FATE transforms dating from a swipe game into a meaningful human experience.

Hallucinations is Disrupting:

Workday

Their Strategy

Replace legacy HR UIs with a governed, cross‑suite conversational agent that safely automates routine work, explains decisions, and monetizes measurable productivity and financial wellness outcomes.

S.P. Jain Institute of Management and Research
Hallucinations Project

Their Case for Disruption

Workday is vulnerable due to UI Rigidity and Organizational Stove-Piping. The system requires an employee to manually track data (timesheets) and submit forms for approval. Aura replaces this with seamless voice and chat commands, handling all data entry and cross-functional approvals automatically. Furthermore, our Agentic AI replaces the need for HR Business Partners (HRBPs) to spend the majority of their time on L1 administrative support (drafting reviews, running simple reports), freeing them up and thus transforming the core job role faster than Workday's internal development can react.

Their Solution

We launch "Aura: The Unified Agent," a single, LLM-powered chat interface that plugs into Workday/SAP via API. For Employees: Aura executes Zero-Click Workflows (e.g., “Log 8 hours and request PTO for tomorrow” via voice). For HR Personnel: Aura acts as a Strategic Co-Pilot, generating customized compliance reports, predicting attrition risk, and drafting performance feedback with the right tone. Our monetization is based on a reduction in human HR personnel time and a premium for our Financial Nudge Agent (opt‑in, IA/RA licensed).

HibernatingPandas is Disrupting:

Zerodha

Their Strategy

Build AstraAI, an AI-driven brokerage platform that improves on Zerodha by providing automated advisory, real-time market manipulation alerts, portfolio rebalancing, and transparent, performance-linked brokerage, giving retail investors tools Zerodha currently does not offer

Indian Institute of Petroleum and Energy (IIPE)
HibernatingPandas Project

Their Case for Disruption

1) Limited AI advisory and automation: Zerodha’s product suite remains execution-centric; features like Kite MCP are read-only and don’t provide autonomous investing. 2) Retail disadvantage from market structure shocks: High-speed market-making and expiry-day strategies by large trading firms have recently drawn regulatory scrutiny (SEBI’s 2025 action in India and global scrutiny after the 2021 meme-stock episode), highlighting how retail traders can be systematically disadvantaged and eroded by complex market mechanics. 3) User demand for intelligent investing & trust limits: As retail investors face such shocks and volatility, they will increasingly seek AI and automation to regain an edge, precisely the gap an AI-native challenger can fill. 4) Regulatory & model risk: Zerodha’s conservative stance and minimal advisory footprint slow its ability to capture this shifting demand

Their Solution

We will build AstraAI, an AI-first brokerage that improves on Zerodha’s features: 1. Intelligent Advisory: Unlike Zerodha’s execution-only Kite and small advisory products, AstraAI provides AI-based trade suggestions, portfolio alerts, and optional auto-execution. 2. Manipulation & Risk Detection: Monitors unusual order book activity, price spikes, and social sentiment to flag pump-and-dump or spoofing events—features Zerodha currently lacks. 3. Automated Portfolio Management: Offers auto-rebalancing, risk-adjusted allocation, and tax optimization beyond Zerodha’s passive investing options. 4. Transparent Brokerage Model: Introduces performance-linked and usage-based fees instead of flat “zero brokerage,” giving users fair execution cost visibility. 5. Research Hub: Summarizes filings, market data, and macro trends for easy retail access.

Hilltop Strategists is Disrupting:

CBRE

Their Strategy

Nexus CRE will leverage AI-powered automation to compress commercial real estate transactions from CBRE's 195-day timeline to 15 days while reducing costs by 60%, initially capturing the underserved mid-market segment before scaling to enterprise clients.

Symbiosis Institute of Business and Management
Hilltop Strategists Project

Their Case for Disruption

CBRE's vulnerabilities stem from five critical weaknesses: Legacy Infrastructure - Despite $10B revenue, they depend on outdated systems and manual processes for core functions. Transaction Inefficiency - Commercial real estate transactions average 195-363 days due to manual document processing, multiple intermediaries, and fragmented workflows. Technical Debt - 60% of IT budget maintains aging systems rather than innovation. Workforce Demographics - 45% of employees over 55 create resistance to digital transformation. Fragmented Data - Multiple non-integrated systems limit real-time insights. These inefficiencies cost millions annually in operational overhead while creating openings for AI-first competitors to deliver superior speed, accuracy, and cost efficiency.

Their Solution

Our AI-first platform "Nexus CRE" will attack CBRE's core inefficiencies through five strategic pillars: Autonomous Transaction Processing - AI agents handle end-to-end deal flow in 15 days vs CBRE's 195 days. Intelligent Document Engine - Instantly process, analyze, and extract insights from legal documents, financials, and contracts using GPT-4 and specialized real estate LLMs. Predictive Market Intelligence - Superior AI-driven analytics providing real-time market insights, pricing optimization, and investment recommendations. Unified Data Platform - Single integrated system replacing CBRE's fragmented technology stack. Cost Structure Advantage - AI-native operations delivering 60% cost reduction while maintaining premium service quality. Initially targeting mid-market clients ($10M-$100M transactions) where CBRE is most vulnerable.

Horizon is Disrupting:

Zerodha

Their Strategy

Empower every Indian to invest confidently and independently—by letting them manage their entire portfolio and place investment orders purely through voice, in their own language.

Masters' Union School of Business
Horizon Project

Their Case for Disruption

Zerodha’s vulnerability is its reliance on text-heavy, English/Hindi-first, transactional interfaces that implicitly exclude non-literate or regional-first Indians—especially those new to trading. Their platforms are designed for “read, click, and type” execution, not for how rural/vernacular India thinks or acts.

Their Solution

We build the first voice-native, regional-language fintech platform—where every step of the customer journey, from portfolio query to order placement, monitoring, and learning, is powered by speech, in the user’s chosen language or dialect. Users can check prices, place all order types, adjust portfolios, and receive personalized market alerts/explanations—all by talk, not typing or texting. The app’s AI translates speech instantly into precise order details, confirmations, and compliance checks, making the entire trading experience hands-free and literacy-agnostic.

Impact Hackers is Disrupting:

Workday

Their Strategy

Build an AI-powered, chat-first HR copilot that replaces Workday’s complexity with intelligence, simplicity, and speed.

Masters' Union School of Business
Impact Hackers Project

Their Case for Disruption

Workday’s weakness lies in its complexity and slowness. Implementation can take months, and users often require training to perform even the simplest tasks. Its enterprise pricing excludes fast-growing startups and mid-market firms, leaving an underserved audience. Culturally, Workday optimizes for stability, not experimentation, making it hard to adopt bleeding-edge AI. It’s also constrained by multi-year contracts that discourage product overhaul. In contrast, emerging AI-native players can release features rapidly, personalize workflows using contextual data, and deliver chat-based automation. Workday’s size and legacy architecture turn its strengths into inertia, perfect conditions for a smaller, faster disruptor to attack from below.

Their Solution

We’ll launch “Worklytic”, an AI-native HR platform that acts as a conversational copilot for employees and managers. Instead of navigating dashboards, users simply chat: “Approve Priya’s leave,” “Draft feedback for Rohan,” or “Show attrition risk by team.” The AI executes actions, drafts documents, and learns from context. Our freemium, usage-based model lets SMBs onboard instantly without consultants. We’ll win through delightful UX, weekly updates, and transparent pricing, everything Workday can’t do fast. Over time, Worklytic evolves into a full digital HR partner that predicts needs, automates tasks, and continuously learns, making HR finally feel human again.

INDIVISION PARTNERS is Disrupting:

Synopsys

Their Strategy

Our strategy is to dismantle the global EDA monopoly by building an AI-first, SaaS-based design ecosystem that localizes chip innovation for India - combining affordability, automation, and strategic partnerships to make semiconductor design the country’s next competitive advantage.

KJ Somaiya Institute of Management
INDIVISION PARTNERS Project

Their Case for Disruption

Synopsys and Cadence are vulnerable to disruption because their business model relies on high-cost, license-based EDA tools that exclude emerging markets like India. Their focus on large global chipmakers leaves MSMEs, startups, and academic users underserved. Moreover, they lack AI-driven automation and localized support, making their workflows slow and rigid. As design trends shift toward RISC-V, chiplets, and AI-assisted EDA, their legacy systems struggle to adapt quickly. This creates an opening for our AI-SaaS platform, which offers flexible pricing, faster turnaround, and India-specific integration - making advanced chip design accessible, scalable, and more relevant to new-age innovators.

Their Solution

Our strategy focuses on democratizing chip design through an AI-driven, SaaS-based EDA platform tailored for India’s ecosystem. Instead of selling costly licenses like Synopsys and Cadence, we’ll offer subscription and pay-per-use models priced between USD 10,000 - 50,000, making advanced design tools affordable for startups and MSMEs. Technically, our edge lies in AI automation, RISC-V friendly chiplet IP reuse, and yield prediction analytics, which reduce design time by nearly 60%. Strategically, we’ll partner with India Semiconductor Mission, Tata Electronics, and academic incubators to onboard early users. By combining affordability, speed, and localization, we’ll undercut incumbents and capture the untapped Indian design layer.

Innovexa is Disrupting:

LocoNav

Their Strategy

Predict failures 7-30 days ahead for 20-100 vehicle fleets via multi-brand telematics and AI, funded by insurers, before LocoNav can re-tool.

Crucible Institute of Management
Innovexa Project

Their Case for Disruption

LocoNav doesn't offer predictive analytics, but mid-market fleets now want it. Building it themselves would take 18 months and a specialist AI team they don't have. Even if they tried, it breaks their business model - their current annual contracts rely on low-touch SaaS, and adding predictive services with high support would cut their margins by 50-70%. They could white-label someone else's product, but that partner could then upsell directly to LocoNav's customers, eating into their retention and pricing power. By the time LocoNav figures this out in 18-24 months, we'll have locked 100 fleets into 3-year contracts and built a data advantage across multiple brands that they can't match.

Their Solution

Layer a plug-and-play predictive-maintenance engine on top of any *AIS-140 or *OBD-II data feed, starting with a non-exclusive white-label integration for LocoNav fleets. *Automative Industry Standard, *On-Board Diagnostics II, *Usage Based Insurance

K coolz is Disrupting:

Zerodha

Their Strategy

Our dual-AI strategy disrupts Zerodha by using a proactive Nudge Engine to activate the ₹24.5 lakh crore in idle funds and a personalized AI Coach to guide "Uninformed" and "Casual" investors through their fear and complexity.

Indian Institute of Management, Kozhikode
K coolz Project

Their Case for Disruption

Zerodha's primary vulnerability is its reliance on a self-directed, financially savvy user base. Its platform is not designed for the 80% of the market classified as "Uninformed" and "Casual" investors, who are paralyzed by fear, complexity, and choice overload. This leaves a massive ₹24.5 lakh crore pool of idle savings untapped. Zerodha's "pull" model requires user initiative, failing to address the deep-seated psychological barriers like market risk fear and trust deficits that prevent this hesitant majority from mobilizing their idle capital.

Their Solution

Our strategy is a dual-pronged AI approach designed to capture the hesitant majority that Zerodha's self-serve model overlooks. First, our AI Nudge Account proactively analyzes bank accounts to identify idle surplus and prompts users to invest it with a single tap, directly combating inertia. Second, a hyper-personalized AI Financial Coach acts as a guide, suggesting curated funds and creating goal-based investment plans to build confidence and demystify the process. By automating action and personalizing guidance, we will activate the ₹24.5 lakh crore market of casual investors paralyzed by fear and complexity.

K's Krusherrs is Disrupting:

PharmEasy

Their Strategy

We’re building an AI-led medication intelligence layer that makes drug use safer, tracks misuse in real time, and powers India’s first national antimicrobial resistance dataset.

Indian Institute of Management, Kozhikode
K's Krusherrs Project

Their Case for Disruption

PharmEasy’s core weakness lies in its one-dimensional focus on delivery speed and discounts, not on medical reliability. It has no system to track user history, analyze recurring prescriptions, or flag potential misuse. With rising demand for verified, data-backed healthcare and upcoming compliance norms, its existing infrastructure is misaligned with where regulation and trust are headed. PharmEasy’s dependency on volume-based sales prevents it from pivoting toward preventive, AI-guided, and clinically verified medication systems—creating an opening for a challenger built around safety, personalization, and real-time accountability.

Their Solution

Our strategy is to shift India’s e-pharmacy model from “medicine delivery” to “medication intelligence.” Users will log the medicines, antibiotics, or supplements they take, and our AI will analyse dosage patterns, family disease history, and drug interactions to generate personalized risk and resistance scores. Starting as a neutral safety engine integrated with local and online pharmacies, we’ll create value through verified insights—not discounts. Over time, anonymized data from millions of users will form India’s first AMR (Antimicrobial Resistance) and medication safety dataset, powering a national safety grid indispensable to regulators, insurers, and hospitals—making incumbents like PharmEasy reliant on our AI backbone.

Kairos is Disrupting:

CBRE

Their Strategy

Develop an AI-powered infrastructure consulting platform that provides instant ROI forecasts and dynamic market analytics, with outcome-based pricing, thereby outpacing CBRE's traditional, fee-based services.

Thapar Institute of Engineering & Technology
Kairos Project

Their Case for Disruption

CBRE is vulnerable to disruption due to its structural weaknesses and legacy business model. Its large incumbent status results in inertia and one-size-fits-all pricing. The company has a history of siloed processes and outdated tools , and its complex, acquisition-driven structure and fee-based model make it slow to innovate. This bureaucracy and its legacy systems leave it exposed to a nimble, AI-first competitor.

Their Solution

Our strategy is to build an AI-first cloud platform specializing in infrastructure projects. It will automate ROI forecasting and cost modeling using LLMs and analytics. Services will be outcome-driven, meaning clients pay based on achieved ROI or efficiency gains, not fixed fees. This delivers CBRE-quality insights in a fraction of the time and cost, upending their slow, manpower-heavy model.

Ken do Attitude is Disrupting:

Narayana Health

Their Strategy

Disrupt Narayana by making an AI-powered fitness platform the core product, incentivizing healthy habits, expanding insurance coverage, and capturing their potential patient base.

Masters' Union School of Business
Ken do Attitude Project

Their Case for Disruption

Narayana Health’s preventive care bet is built around insurance, a grudge purchase that fails to inspire proactive wellness. This strategy is misaligned with how people engage with health today, which is driven by aspiration and lifestyle, not fear of illness. Their hospital DNA and clinical brand evoke treatment, not daily vitality. As a public listed company, Narayana faces pressure for quarterly results, making diversifications difficult to execute. Moreover, its asset-heavy, hospital-centric structure limits agility. In a fast-moving, consumer-led wellness ecosystem, these very strengths (scale, regulation), and brand legacy become liabilities ripe for disruption.

Their Solution

Our strategy is to launch "Ayu," an AI-powered fitness platform that transforms passive online classes (gym, yoga) into a truly interactive experience. Our AI provides real-time posture correction, accurate calorie tracking, while we incentivize healthy behaviors like workout consistency with tangible rewards. A portion of the subscription seamlessly funds a comprehensive health insurance policy. This replaces insurance with a platform that delivers tangible value daily. In the long run, we dislodge Narayana by owning the customer relationship and data to steer users to our wide network of partner hospitals, removing Narayana of its core hospital revenue.

Ken Kiladis is Disrupting:

McKinsey

Their Strategy

We will disrupt McKinsey by targeting the vast underserved mid-market clients with an AI-powered "Strategy-as-a-Service" platform by leveraging a multi-agent AI workforce.

S.P. Jain Institute of Management and Research
Ken Kiladis Project

Their Case for Disruption

McKinsey is vulnerable precisely because of its success. Its entire business is built on a high-cost, anti-scalable model dependent on elite human capital. This locks the firm into the Innovator's Dilemma: it must rationally reject lower-margin opportunities in the SME market to protect its core business. Furthermore, its bundled, monolithic service delivery "over-serves" many clients who need value-for-money solutions. This combination of a rigid cost structure and a strategic blind spot makes it incapable of effectively responding to a scalable, technology-first platform attacking from below.

Their Solution

The disruption rests on a three-pronged strategy that redefines how strategy consulting is produced, delivered, and monetized- achieving a ~60% reduction in delivery cost without sacrificing analytical depth. Razor-and-Blade Market Entry: Penetrate the new mid-market (MSMEs, NGOs, well-funded startups, unicorns, corporate departments) through autonomous, AI-led diagnostic audits that generate Balanced Scorecard insights at low cost, then upsell modular consulting “blades” through automated smart contracts and expert marketplaces. Agentic Obelisk Operating Model: Replace McKinsey’s human-capital pyramid with a lean AI-first obelisk- multi-agent systems executing research, analytics, and synthesis under minimal human oversight, thereby compressing cost and cycle time by over 70%. Continuous Intelligence Business Model: Transition from episodic projects to a subscription-based “Strategy-as-a-Service” platform providing real-time, adaptive insights that strengthen via data network effects.

Kenclave is Disrupting:

Narayana Health

Their Strategy

AI-native, India-calibrated genomics platform turning DNA insights into personalized, affordable, subscription-based preventive care.

Masters' Union School of Business
Kenclave Project

Their Case for Disruption

Narayana’s strength, its vast hospital network, is also its biggest limitation. Nearly 80% of its revenue depends on surgeries and inpatient care, leaving little scope for recurring, prevention-based models. Its multi-site bureaucracy and rigid ROI cycles hinder rapid innovation. Meanwhile, consumer preferences have shifted toward digital, continuous, and data-driven wellness. Hospitals remain the “final stop of sickness,” not health partners. Building AI-led preventive infrastructure demands speed, cloud agility, and new consumer engagement capabilities, all difficult within NH’s existing structure. This opens a clear entry point for a nimble, tech-first challenger to dominate prevention.

Their Solution

Narayana builds hospitals; we’ll build health habits powered by DNA. We will launch Genity, an AI-native preventive genomics platform that converts complex genetic data into personalized, actionable insights, think Spotify Wrapped for your health. Genity will deliver India-calibrated polygenic risk scores (PRS) and subscription-based prevention journeys in areas like cardio, diabetes, oncology, and longevity. Our freemium → subscription model targets both D2C consumers and B2B2C ecosystems (insurers, employers). Defensibility will come from: (a) proprietary India-specific PRS datasets, (b) accredited lab tie-ups (MapmyGenome, MedGenome), and (c) LLM-powered personalization on federated, privacy-safe AI. Next step — a user-owned Genity Data Co-op, rewarding individuals for contributing genomic data to India’s preventive health graph.

Kennectors is Disrupting:

Narayana Health

Their Strategy

Empower every Indian doctor with an AI co-pilot and pre-diagnostic assistant that saves 2–3 hours daily, automates documentation, ensures compliance, and elevates patient care quality.

Masters' Union School of Business
Kennectors Project

Their Case for Disruption

Narayana's mission affordable care at scale is gold, but services have "no moats," per Viren Shetty: anyone can remix elements with time/money. Athma automates basics, yet OPDs drown in manual notes, e-prescriptions, and ABDM hurdles, spiking burnout (70% docs) and errors. Startups like Practo already chipped UX; now AI threats loom in prescriptions/patient tracking. Their shift to integrated wellness amplifies risks legacy silos block quick ABHA links, and scale (Rs 34k cr mcap) slows pivots. We're slipping in: plug-and-play AI exploits these cracks, turning their volume against them before they rebuild.

Their Solution

We are empowering doctors directly rather than selling to administrators. NYRA functions as a plug-and-play AI layer over any existing EMR, making hospitals ABDM-compliant without costly replacements. Our wedge is a Pre-Diagnostic Chatbot, AI Notetaker, and E-Prescriber that together cut OPD documentation time by 60 percent and consultation duration by 35 percent. The chatbot triages patient symptoms, generating structured summaries that save 3-5 minutes per consultation. Once embedded, we expand into analytics and telemedicine, creating a continuous data feedback loop. Partnerships with Narayana Health and mid-tier hospitals validate measurable ROI: 30 percent higher doctor throughput and zero compliance errors.

PersonaHR is Disrupting:

Workday

Their Strategy

We're turning HR software into something that actually knows and cares about each employee individually, delivering personalized experiences that boost engagement and retention while costing half as much as existing solutions.

Indian Institute of Management, Trichy
PersonaHR Project

Their Case for Disruption

Workday's biggest problem is that they're too successful for their own good. Their entire business model depends on keeping enterprise customers happy, which means they can't take the risks needed to innovate. When you have customers paying $35 per employee per month, you don't want to rock the boat. Their technology infrastructure is old- making simple changes takes them over a year while newer companies can ship updates weekly. The user experience feels like something from 2005. Employees today expect the same level of personalization at work that they get from Netflix or Spotify, but Workday gives them the equivalent of cable TV.

Their Solution

We're building PersonaHR- think of it as creating a unique digital personality for every employee that learns and adapts over time. Instead of filling out endless forms, employees have conversations with our system that understands their career goals, work style, and preferences. Then everything- from career recommendations to benefits optimization- gets personalized just for them. The business model makes sense too: $12 per employee versus Workday's $35, with setup taking minutes instead of months. We're targeting all those mid-market companies that Workday ignores. The key is proving that personalized experiences actually improve engagement and retention by measurable amounts.

Koncocting Ken is Disrupting:

Khaitan & Co.

Their Strategy

We are making legal services accessible to the 95% of Indian businesses—SMEs and MSMEs—that traditional law firms ignore, by replacing expensive billable-hour models with affordable AI-powered subscriptions that deliver faster, cheaper, and more transparent legal support.

S.P. Jain Institute of Management and Research
Koncocting Ken Project

Their Case for Disruption

Law firms operate on a billable-hour model, which incentivizes inefficiency. Their high overhead costs and premium pricing make them inaccessible to SMEs and MSMEs. Additionally, their business models are deeply entrenched, with partners earning substantial incomes, making it difficult to implement cost-cutting measures or adopt automation. This structural rigidity prevents them from serving the mass market of small businesses effectively.

Their Solution

We will target growth-stage startups and established MSMEs in tier-1 cities, offering essential legal services through affordable monthly subscriptions. By partnering with CA firms and startup accelerators, we aim to onboard 5,000 clients within six months. Subsequently, we will expand to 15 cities and launch a legal marketplace to connect businesses with specialized lawyers for complex matters. Our goal is to reach 50,000 MSMEs nationwide within 18 months, establishing ourselves as the go-to legal solution for small businesses.

Le Trio Kentastique is Disrupting:

Coursera

Their Strategy

Learning that listens — an AI tutor that understands what you know, how you think, and where your curiosity wants to go.

Indian Institute of Management, Ahmedabad
Le Trio Kentastique Project

Their Case for Disruption

As the world leaps into the AI age, Coursera remains anchored to a static, video-first model built for the 2010s, making it vulnerable. Its dependence on university partnerships makes it slow to pivot, update, or personalise at the speed learners expect and even take for granted. Long-standing criticisms like low completion rates, passive learning, unreliable peer grading, and hollow certifications can finally be erased through adaptive AI tutors, retrieval-based content, and real-time, conversational evaluation by AI. The AI revolution has exposed Coursera’s greatest weakness: scale without intimacy. The very attributes that once made it dominant—size, structure, and standardization—now make it ripe for replacement.

Their Solution

We will not be another course platform; we will create a learning co-pilot that learns you back. Our AI will learn what you already know, how you think, and where your curiosity leads. This will allow it to build dynamic learning journeys, not playlists of stale videos. We’ll replace certificates with proof of ability: AI-verified portfolios, real projects, and employer feedback loops. Retrieval-based AI removes hallucination, while adaptive tutoring keeps you challenged, not overwhelmed. We’ll start with high-curiosity, low-structure learners—professionals tired of 40-hour videos with 4-hour value. In short: Coursera teaches courses; we build competence. And that difference is everything.

Let's fix it! is Disrupting:

PhysicsWallah

Their Strategy

Sell an AI-powered co-pilot that turns every teacher’s own content into always-on personalised tutoring, giving institutes data-driven insights.

Indian School of Business
Let's fix it! Project

Their Case for Disruption

1. Capital-intensive offline sprint: Founder vows to open “as many centres as possible” in FY25, even at the expense of profits. 2. Rising faculty churn: Teacher attrition hit 40 % in FY24 amid allegations of opaque reviews and abrupt firings, eroding classroom quality and goodwill . 3. Margin pressure & layoffs: 70-120 staff cut in Nov 2024 during a funding crunch . 4. IPO distraction & single-founder brand risk: Regulatory scrutiny and dependence on Alakh Pandey slow bold pivots. Together, these cracks leave PW ill-equipped to counter a nimble, AI-native B2B2C platform.

Their Solution

Deploy an “AI Teaching Co-pilot” that ingests each institute’s notes, videos, and past papers and offers: • 24×7 multi-lingual AI tutor for students • Mastery dashboards & concept alerts for teachers • ROI & analytics for administrators Start with 25 Kota-style coaching chains (~50 k students), price at ₹1 200 / student / year—20 % below PW’s average—and fine-tune a physics/chem/bio vertical LLM. After proving unit economics, expand to UPSC and Medical, where there is higher willingness to pay and students need guidance 24x7. Our teacher-first SaaS empowers institutes instead of commoditizing them, undercutting PW’s offline heavy model.

Mango is Disrupting:

Narayana Health

Their Strategy

Integrate AI and medical expertise to create India’s first full-spectrum digital healthcare system that predicts, prevents, and personalizes care.

Xaviour Labour Relations Institute
Mango Project

Their Case for Disruption

Narayana’s strength lies in its human expertise, physical infrastructure, and high-volume efficiency. While healthcare hasn’t yet shifted toward AI-driven, preventive care, it holds immense potential to do so. Narayana’s technology is not equipped for large-scale data integration, real-time diagnostics, or AI-enabled insights. Its hospital-centric focus leaves room for a new entrant to reshape healthcare around accessibility and prevention. By using AI to uncover patterns, predict risks, and guide early intervention, a challenger could make care proactive and research oriented. Narayana’s dependency on hospitals and slow adaptability leave it behind in building data-driven, personalized healthcare for the future.

Their Solution

We will launch NeuraCare, an AI-native health ecosystem delivering end-to-end digital care: diagnosis, prevention, management, and emergency support. Its AI engine will triage symptoms, connect patient data, and assist doctors with pre-diagnosis insights. For chronic conditions like PCOD, diabetes, and hypertension, AI-generated lifestyle plans will be reviewed by certified health coaches and nutritionists. Data from wearables, labs, and prescriptions will create unified health profiles for research on drug effects, genetic risk, and population health. Partnering with labs, pharma, wearable, and nutrition firms, NeuraCare will unify the fragmented healthcare journey making care predictive, continuous, and accessible from every device.

Mavericks is Disrupting:

Narayana Health

Their Strategy

Deploy a cutting-edge AI system within Narayana’s hospitals to automatically detect pain in non-verbal patients in real time, thereby improving clinical outcomes and patient experience at equal or lower cost than current manual monitoring.

S.P. Jain Institute of Management and Research
Mavericks Project

Their Case for Disruption

Despite its efficiency, Narayana still relies on manual pain assessments for non-communicative patients. Yet studies show 45–85% of ICU patients experience pain that is often “silent” and undetected. At high patient volumes, nurses can miss subtle distress cues (micro-expressions, etc.). Narayana’s lean staffing and focus on throughput mean these gaps in pain monitoring persist. In other words, its cost-driven model and traditional protocols leave an unmet need for objective, real-time pain detection. This gap – unaddressed by existing solutions makes Narayana ripe for a technology that simultaneously improves outcomes and keeps care affordable.

Their Solution

We will embed our multimodal AI pain detection into Narayana’s workflow. First, we pilot in key units (e.g. NICUs, geriatric wards, hospice) by integrating our software with existing cameras and sensors. We’ll demonstrate clinically superior outcomes (faster pain intervention, fewer complications) and cost-savings (reduced length-of-stay) to win buy-in. Recent research shows AI-based facial analysis strongly correlates with expert pain assessments, validating our approach. Armed with pilot data, we aim for rapid adoption: training their staff, iterating on feedback, and scaling to all Narayana facilities. This data-driven roll-out focusing on ease of integration and proof of valued displaces manual methods and sets a new standard in patient experience.

Meraki is Disrupting:

Narayana Health

Their Strategy

We make staying healthy profitable by using a personal AI to predict your future risks, which lowers your insurance premiums and empowers you to truly own your well-being.

OP Jindal Global University
Meraki Project

Their Case for Disruption

Narayana health began its journey as a cardiology focused centre and transformed itself into many chains of hospitals across India. However, its new objective of going all in with the new AI technology poses certain threats to its entire established structure. First, the fact that Narayana Health proposed this model only for the ones who subscribe to it and not to the public at large . Second, the interface used on the official website is a complicated one which defeats the fact that it targets the benefit of the general public. Third, NH in their new model repetitively mentions addressing the concern regarding preventive measures while also not effectively implementing it. Fourth, there is also the lack of protective measures regarding the security and data privacy concerns in their present model as the personal data of the patient can be misused very easily.

Their Solution

Our strategy is to disrupt Narayana Health by launching a patient-owned Digital Twin platform. This AI-powered virtual replica, built from integrated clinical, genomic, and real-time data, empowers users to simulate "what-if" health scenarios, making prevention tangible. The platform is patient-driven, with users granting time-limited, role-based data access to providers, enhanced by multi-language support. This model also underpins a new insurance system where premiums reward healthy behavior and claims are pre-approved. By making this secure, open platform affordable and licensing it to rivals, we democratize predictive healthcare and shift market power to the consumer.

IFMR_Knights is Disrupting:

Narayana Health

Their Strategy

We're creating India's health operating system where your first thought about healthcare isn't "which hospital?" but "let me check my HealthBase."

KREA University
IFMR_Knights Project

Their Case for Disruption

Think about it: when you feel unwell today, you either Google symptoms or go to a hospital. Both are broken experiences. Narayana owns hospitals, but we own the patient's first touchpoint. Their business depends on people getting sick enough to need hospitals, while we make money by keeping people healthy. They're stuck between two worlds - trying to be both a hospital chain and a health platform, while we're purely focused on being your health companion from day one.

Their Solution

We're building "HealthBase" - imagine if your health had a operating system. We aggregate your medical history from every source (hospitals, lab reports, fitness trackers) into one intelligent profile. Our AI doesn't just react when you're sick - it proactively suggests "Hey, based on your family history and current vitals, maybe we should check your blood sugar this month?" We then connect you to the right service, whether it's a doctor consultation, lab test, or insurance plan. We become the control center for your health journey.

Campus Barbies is Disrupting:

Narayana Health

Their Strategy

We standardize how small clinics run a visit so AI and on-device monitoring can quietly handle prevention, booking, consent, and insurance before any hospital brand steps in.

Indian Institute of Management, Ahmedabad
Campus Barbies Project

Their Case for Disruption

Narayana Health’s strength lies inside its hospitals. Its weakness lies outside them. The NH Care app is designed for follow-up and teleconsults, not for running real-time in-clinic care. Changing daily habits in thousands of independent clinics requires neutral tools that hospitals cannot easily control. Narayana cannot embed prevention and insurance completion inside routine visits without reworking its entire model. Running AI safely offline on low-cost tablets with on-device real-time monitoring of vitals and prevention actions is far from its comfort zone. Our model thrives there, improving outcomes upstream while Narayana remains tied to its hospital-based incentives.

Their Solution

We are building one common app for patients, clinics, and hospitals that standardizes each clinic visit. Patients fill their details once. AI cleans data, predicts early health risks, and flags preventive checks like BP, HbA1c, or anaemia and analyses family history through multi-profile setup. On-device monitoring instantly tracks vitals and preventive completion, even offline. This happens through Agent AI, which does this as a feedback loop. The doctor reviews and approves a clean summary, and a consent-protected handover prints for any hospital. The app also recommends affordable insurance options based on verified risk and usage, closing the care loop.

Mission Master's is Disrupting:

Larsen & Toubro (L&T)

Their Strategy

We install IoT sensors that predict equipment failures 2-4 weeks early, then charge clients for uptime instead of repair hours - pilots show 40-60% less downtime because edge AI gives instant alerts without needing internet.

KJ Somaiya Institute of Management
Mission Master's Project

Their Case for Disruption

L&T's maintenance model suffers from critical weaknesses rooted in outdated processes. Their reactive approach means 70% of maintenance happens after equipment failures, costing clients 3-5x more than prevention would. Technicians still rely on paper logs and Excel sheets for data collection, preventing real-time insights that could catch problems early. There's no unified platform connecting sensors, schedules, and outcomes - everything's fragmented across different systems. This heavy labor dependency becomes a real problem when skilled technician shortages directly impact service quality. Making things worse, their legacy fixed-price contracts don't incentivize efficiency improvements, so there's no built-in motivation to do better. After 25 years of the same processes, hierarchical decision-making, and resistance to technology change, L&T has created clear openings for AI-powered alternatives that can deliver measurable ROI through predictive analytics and automated workflow optimization.RetryClaude is AI and can make mistakes. Please double-check responses.

Their Solution

AI-First Predictive Maintenance Platform: Deploy IoT sensor networks (vibration, temperature, pressure) across client facilities, feeding real-time data into machine learning models predicting equipment failures 2-4 weeks ahead. Our platform automates work order generation, optimizes technician routes, and provides AR-guided repair instructions. Revenue model shifts from reactive service fees to outcome-based contracts clients pay for uptime percentage, not repair hours. Key differentiation: Edge AI processing enables instant alerts without cloud dependency, critical for manufacturing environments. Integration with existing SCADA systems through APIs ensures smooth adoption. Pilot with mid-size manufacturers before scaling to enterprise accounts, proving 40-60% downtime reduction and 30% cost savings

MU Builders is Disrupting:

Narayana Health

Their Strategy

We're turning Narayana's individual health screenings into family-wide preventive care management where one person controls multi-generational health data, doorstep diagnostics, and teleconsults - all while keeping everyone's data private from labs and pharmacies.

Masters' Union School of Business
MU Builders Project

Their Case for Disruption

Narayana treats health as an individual, transactional issue. They charge ₹4,999 to ₹20,000 per screening per person with no bundled family benefits or integrated digital care. Their model is fragmented and episodic - you come in, get a test, leave, repeat. But here's what they're missing: Indian families don't think about health individually. One member typically manages care across generations - children, parents, elders. Families want a private, unified solution, but Narayana's current system exposes sensitive data to multiple labs and pharmacies every time. They've completely missed this deep cultural and practical insight.

Their Solution

MU Builders is building Jeevika360, a family-first preventive healthcare platform that replaces Narayana's fragmented per-screening model with bundled annual care (₹6,000-19,000/year). They offer unlimited teleconsults, doorstep diagnostics, mental wellness, and AI-driven health nudges - all managed through a double-blind privacy system where one member securely handles multi-generational family health across diagnostics, pharmacy, and doctor consults.

NC is Disrupting:

Instagram

Their Strategy

CURA turns Instagram ad firehose into reliable purchases by combining lightweight AI verification, curated product discovery, and a shopping assistant UX that reduces SMB CAC.

Indian Institute of Management, Lucknow
NC Project

Their Case for Disruption

Meta’s strength—low friction reach is also its vulnerability. Ads are ephemeral, crowded, and optimized for impressions rather than credibility. SMBs face escalating CAC with limited conversion certainty; consumers face counterfeit/quality risk from whitelabel sellers. Meta cannot, by default, provide independent, verified trust for thousands of micro-brands without eroding its ad model. Typical ecommerce platforms prioritize scale and price, creating a quality vacuum for discerning buyers. A focused platform that gives brands better conversion, provides verifiable trust, and charges fairly can convince brands to rethink ad spend, thus creating an attack front against Meta.

Their Solution

CURA is an AI-first, asset-light marketplace that proves a measurable conversion advantage for brands and captures discovery value currently monetized by Instagram. We launch category-first (say premium clothing) and run tightly controlled A/B pilots where brands’ Instagram creatives route traffic either to their site or to a CURA brand page. CURA provides simple AI verification with human spot audits, trust badges, and a memory layer (helps users recall brands). Monetization begins with a subscription model (zero commission) and paid brand services like top rank listing spots.

Neural Nexus is Disrupting:

CBRE

Their Strategy

Turning global real estate portfolios into intelligent, self-optimizing, and sustainable assets using AI and NLP.

Indian Institute of Management, Kozhikode
Neural Nexus Project

Their Case for Disruption

CBRE's database- over 350 million sq. ft.- managed globally, should be its moat, but it's fragmented across legacy platforms. The dashboards show what's going on, but they don't predict. Human-led advisory slows decision time, while sustainability reporting is still reactive. But clients globally now want predictive asset management, energy efficiency, and automated ESG compliance. AI-native technologies would be faster, cheaper, and sustainable here. The PropTech industry is growing at 23% CAGR (2023–2030), outpacing traditional RE. CBRE’s hierarchical structure and slow AI adoption make it vulnerable to disruption.

Their Solution

We will release SmartEstate AI, an independent real estate intelligence platform that uses spatial analytics, NLP, and generative AI. It turns information on properties and tenants into useful information for leasing, maintenance, and sustainability. SmartEstate AI lets you save up to 25% on energy costs and 30% on predictive maintenance costs by combining IoT data with urban infrastructure APIs. We offer fast, AI-driven suggestions at a cost that is 40% lower than CBRE's consultant-heavy strategy. Our goal is to make every property a self-learning, carbon-efficient asset that is profitable and environmentally friendly across portfolios in North America, EMEA, and APAC.

OnTheEdge is Disrupting:

WedMeGood

Their Strategy

Turn wedding dreams into executable plans using AI to match vision with transparent vendor bids and curated quality.

Xaviour Labour Relations Institute
OnTheEdge Project

Their Case for Disruption

WedMeGood offers static filters and a lead-based system that creates option fatigue, inconsistent pricing, and long vendor conversations. Its value capture is shallow; it earns from listings and commissions but doesn’t control the user journey deeply. Quality control is limited to user reviews, making it hard to differentiate credible vendors. Moreover, most Indian weddings are self-planned by families, not professional planners. This means customers want decision support and quality assurance, not just listings. An AI-first layer can collapse discovery, planning, and pricing into one seamless journey - something WedMeGood’s current structure isn’t designed to deliver quickly.

Their Solution

We’ll replace static search with AI-led conversational planning. Brides upload Pinterest mood boards or describe their vision; our AI translates this into a Bill of Materials (BOM) and opens a live bidding marketplace where verified vendors quote for each item. We introduce vendor quality tiers (based on audits and consumer feedback) and structured pricing transparency. For execution, users can either self-manage or onboard planners through our platform. On the vendor side, a dashboard with performance incentives and training programs drives trust and quality. Our flywheel: better matching → better experience → higher loyalty → more vendor participation

Outlier is Disrupting:

McKinsey

Their Strategy

Consult X replaces traditional consulting with an AI-powered, execution-verified platform where real operators, guided by industry-specific AI agents, deliver strategy backed by proof—not PowerPoint.

Indian Institute of Management, Ahmedabad
Outlier Project

Their Case for Disruption

McKinsey’s vulnerability lies in its dependence on human-driven analysis, premium pricing, and opaque results. Its model thrives on reputation, not real-time proof. In a world where AI can synthesize data, simulate outcomes, and benchmark performance instantly, McKinsey’s multi-million-dollar slide decks and long project cycles feel obsolete. Clients increasingly seek practitioners who have executed similar challenges, not consultants who merely advise. The firm’s partnership structure and brand positioning make it slow to adopt automation that could undercut its own margins. As AI democratizes strategic intelligence, McKinsey’s information monopoly is no more its "moat".

Their Solution

Our strategy is to replace McKinsey’s advice-driven model with Consult X, an AI-powered, execution-verified consulting ecosystem. Consult X identifies and validates professionals who have actually executed similar projects through AI-based discovery, confidence scoring, and human verification. Companies engage these verified experts for short, outcome-linked advisory sprints. Industry-specific AI agents assist both sides—clarifying context, interpreting data, and answering domain-specific doubts in real time. Every engagement feeds a growing Proof Graph, the global ledger of verified execution. By combining proof, AI intelligence, and practitioner insight, Consult X makes consulting faster, transparent, and measurable in a fraction of cost—rendering McKinsey’s traditional model obsolete.

PermitAI is Disrupting:

IQGeo

Their Strategy

PermitAI disrupts IQGeo by replacing manual permit workflows with full automation, targeting frustrated mid-market contractors who need speed over complexity.

Mesa School of Business, Bengaluru
PermitAI Project

Their Case for Disruption

IQGeo’s real vulnerability is its inability to automate and update permit workflows for hundreds of cities, each with unique, frequently changing regulations. Its legacy design prioritizes mapping and asset management over agile compliance, forcing teams into slow manual processes and error-prone submissions. As the demand for rapid multi-city fiber deployment grows, this gap creates ongoing delays and user frustration. Fast, purpose-built solutions like PermitAI can scale seamlessly and adapt in real time, showing IQGeo’s weakness in meeting new market needs.

Their Solution

PermitAI's strategy to disrupt IQGeo follows a focused vertical SaaS approach. We target underserved mid-market fiber contractors and fast-growing ISPs with AI-powered automated permit application generation, exploiting IQGeo's slow manual workflows and high costs. Our differentiation lies in instantly creating complete, jurisdiction-specific permit packages from engineering designs, dynamic regulatory updates, and rapid onboarding. By automating the most time-consuming permitting tasks exceptionally well rather than competing broadly, we capture frustrated users seeking speed and accuracy that legacy platforms cannot deliver.

Pitchers is Disrupting:

Narayana Health

Their Strategy

Build the AI-native preventive health platform Narayana Health is trying to become – but do it 3 years faster, with superior consumer experience, subscription economics, and viral family network effects that make their hospital-centric model obsolete for India's wellness-first generation.

Masters' Union School of Business
Pitchers Project

Their Case for Disruption

Five critical vulnerabilities: § Technology lag in predictive genetics: While Athma/AIRA handle records and workflows, NH has no deployed hereditary risk engine or family pedigree system. Their ECG-to-LVEF model shows AI ambition but narrow scope. § Preventive care unproven economics: Aarogyam screening centres are pilots – profitability and patient retention remain uncertain. NH lacks subscription/longitudinal engagement models. § Data fragmentation: Despite digitization, family history capture is manual/incomplete; no structured pedigree graphs; wearable integration is "planned" not deployed. § External dependency: NH partners with labs for genetics but has no proprietary variant interpretation, PRS pipelines, or genetic counselling infrastructure. § Legacy hospital mindset: 80% of revenue still comes from surgeries/inpatient care. Cultural shift to prevention is slow; innovation cycles lag nimble startups by 12-18 months.

Their Solution

Launch an AI-native preventive health platform that makes Narayana Health's hospital-centric model obsolete for the emerging "wellness-first" consumer. Our strategy has three prongs: (1) Product superiority – deploy what NH can't: AI-powered hereditary risk prediction, family health mapping, genomics integration, and continuous wellness tracking like medication reminders, lifestyle tracking, and personalized health nudges in a beautiful consumer app. (2) Business model innovation – subscription-based preventive care (₹999-4,999/month) with zero-marginal-cost AI consultations, undercutting NH's ₹5,000-15,000 one-time screening fees while building recurring revenue. (3) Speed & virality – ship MVP in 4 months, iterate weekly, use family network effects (every user invites relatives) to grow 10x faster than NH's hospital-based acquisition. Capture urban health-conscious consumers (our ICP) before NH builds competitive tech, then expand to mid-market via corporate wellness and insurance partnerships – channels NH is too slow to dominate.

Quadinfi is Disrupting:

Zerodha

Their Strategy

Offer transparent, AI-driven wealth management tools that brings family-office-level insights to the new generation of high-net-worth and UHNI investors.

S.P. Jain Institute of Management and Research
Quadinfi Project

Their Case for Disruption

“Zerodha built a perfect machine for transactions, not relationships.” Zerodha’s retail-first model excels at execution efficiency but lacks the personalization and relational depth required for high-net-worth clients. Its “no-advice” philosophy, once a differentiator, now limits it from serving investors who value tailored guidance and human trust. The company’s architecture is optimized for transactions, not for dynamic goal planning, tax optimization, or behavioral intelligence. As AI enables reasoning, prediction, and human-like personalization at scale, this creates a white space above Zerodha’s current product stack. Fynapse can capture this premium opportunity by operationalizing trust through AI, blending intelligence, empathy, and autonomy in ways Zerodha’s minimalist design cannot easily support.

Their Solution

(A clickable prototype demonstrating the Fynapse platform and AI-RM workflow can be viewed here: https://fynapse-ai-co-pilot.lovable.app/) Fynapse will build the first AI co-pilot for relationship managers serving HNI and UHNI clients. The system automates portfolio monitoring, tax optimization, rebalancing, and risk alerts while the human advisor delivers empathy, trust, and compliance oversight. By combining Account Aggregator data with generative AI reasoning, Fynapse creates a 24×7 “financial brain” that augments human expertise by 10×. The platform will launch B2B2C—partnering with boutique wealth firms, NBFCs, and family offices. Zerodha’s lean retail structure limits its ability to adapt to such high-touch advisory without redesigning its entire DNA, allowing Fynapse to move faster and deeper.

Quantra is Disrupting:

CBRE

Their Strategy

We will disrupt CBRE by launching an AI-driven platform that becomes the industry standard for certifying commercial real estate efficiency, replacing subjective advisory with a transparent, scalable technology product.

KJ Somaiya Institute of Management
Quantra Project

Their Case for Disruption

CBRE's primary vulnerability is its reliance on a business model that profits from the very market opacity it should be solving. The Indian CRE market suffers from a "credibility gap" due to the absence of standardized efficiency metrics, allowing for subjective and misleading property marketing. CBRE’s premium advisory services thrive on this information asymmetry. This makes it vulnerable to a disruptor that introduces radical transparency. Furthermore, its global, service-heavy structure is slow to adapt and ill-equipped to compete with a scalable, low-cost technology product that directly empowers clients with objective data.

Their Solution

Our strategy is not to build a better brokerage, but to make the traditional brokerage model obsolete. We will launch "CertiSpace," an AI-powered platform that establishes the industry's first objective, transparent, and trusted standard for certifying commercial building efficiency. By analyzing architectural plans, leasing data, and regulatory filings, our platform will provide a single, verifiable efficiency score. This shifts the market's value proposition from expensive, relationship-based advice to a scalable, data-driven certification product. We will become the market's source of truth, disintermediating CBRE's role as an information gatekeeper and fundamentally altering market dynamics.

Quasar is Disrupting:

Zerodha

Their Strategy

Redirect retail traders’ time and cash from speculative activity to verifiable interest savings using an AI fiduciary that prescribes and automates debt payoff.

Indian Institute of Management, Ahmedabad
Quasar Project

Their Case for Disruption

Zerodha is heavily reliant on options-driven activity, which is now under regulatory pressure, which is limiting monetisation and product growth. It has a good UX, but does not have enough tools for analysing debt, managing liabilities, or suggesting cash flow. It also has a culture that is cost-conscious and bootstrapped, which puts reliability ahead of quick AI testing in new areas with a lot of rules, like AA and credit ops. This inertia makes it an easy target to disrupt.

Their Solution

Build DebtPath: an AI fiduciary for debt-heavy retail investors. Using consented Account Aggregator data, card/loan statements, and bureau reports, a prescriptive engine optimizes EMI schedules, negotiates rate/tenure revisions with lenders, and automates high-impact repayment sequences subject to user constraints. The system blends causal ML, optimization under constraints, and behavior-change design to stop debt cycling. Monetization is outcome-based: a transparent take-rate on independently verified interest saved (VIS), with optional flat subscription for premium features. Distribution focuses on acquisition where Zerodha is strong—trading forums, brokers’ long-tail partners, and personal finance creators—positioned as “returns via interest saved,” a lower-risk path than speculative trading.

Qwalo AI is Disrupting:

NielsenIQ

Their Strategy

Localize and democratize AI-driven qualitative research for India and Southeast Asia to outpace traditional model.

S.P. Jain Institute of Management and Research
Qwalo AI Project

Their Case for Disruption

Its operations rely heavily on field staff, physical panels, and manual analysis, making it cost-heavy and slow. The firm’s structure is optimized for quantitative surveys, not dynamic qualitative conversations that reveal the why behind consumer behavior. As AI reshapes research, Nielsen faces a technology gap and cultural inertia that prevent rapid adaptation. Its focus on enterprise clients further alienates startups and mid-sized companies seeking agile tools. In an era where insights are expected in hours, not weeks, Nielsen’s process rigidity and legacy systems make it highly vulnerable.

Their Solution

We will outpace Nielsen by offering an AI-powered qualitative research platform that delivers in-depth insights in hours, not weeks. Our strategy focuses on speed, scale, and localization: AI interviewers conduct multilingual, empathetic conversations across India’s diverse consumer base, automatically analyzing themes and sentiments. We will democratize research through affordable, subscription-based access for startups and agencies, while Nielsen continues to depend on costly, human-moderated projects. By building a localized participant network and integrating AI-human hybrid validation, we’ll combine cultural nuance with analytical depth. Our model turns qualitative research from a premium consultancy service into an accessible, on-demand product.

RagingPhoenix is Disrupting:

HDFC Securities

Their Strategy

We're building India's first emotional AI-powered wealth platform that understands investor psychology better than they understand themselves, delivering personalized investment strategies at 1/5th the cost of traditional advisors.

Indian Institute of Management, Sirmaur
RagingPhoenix Project

Their Case for Disruption

HDFC Securities' vulnerability stems from fundamental structural weaknesses: legacy IT infrastructure unable to process real-time data, relationship managers handling 200+ clients manually, static portfolio allocation ignoring dynamic market conditions, and 2.5% expense ratios when robo-advisors operate at 0.25%. Their one-size-fits-all investment approach fails India's diverse investor base—from tier-2 millennials to NRI professionals. Commission conflicts incentivize pushing high-fee products over optimal returns. Most critically, they lack behavioral finance integration, missing emotional triggers that drive 80% of investment decisions. Post-pandemic, 67% of investors prefer digital-first platforms, yet HDFC Securities remains anchored to branch-based distribution models

Their Solution

Launch "Nivesh.AI"—India's first emotional intelligence-powered wealth management platform. Using advanced behavioral AI, we analyze spending patterns, social media sentiment, life events, and market psychology to create hyper-personalized investment strategies. Our AI processes 10,000+ data points per user—from UPI transactions to calendar events—predicting optimal investment timing and amounts. We eliminate human bias through algorithmic rebalancing, dynamic tax optimization, and goal-based micro-investing. Revenue model: 0.5% flat fee (80% lower than incumbents) with performance bonuses. Our AI wealth assistants provide 24/7 support in 12 Indian languages, making sophisticated wealth management accessible to tier-2/3 cities at mass scale.

RISE is Disrupting:

Zerodha

Their Strategy

Disrupt the Indian mutual fund's market for 40 million new investors with our next Generation AI powered hyper-personalized recommendation platform, making us their first and only choice by owning the decision where incumbents fail.

Indian School of Business
RISE Project

Their Case for Disruption

These platforms are vulnerable at three critical points. First, user retention crisis: They lost 1.15M active investors in H1 2025, signaling product-market misfit. Second, SIP stoppage ratios spiked to 88% in May 2024, indicating investors exit due to misaligned expectations. Third, their supermarket model overwhelms beginners with 4,000+ options. They optimize for execution speed but ignore the decision layer where first-time investors struggle most. While 70% of users come from tier 2-3 cities with 27% financial literacy rate, platforms offer no personalized guidance. This creates a massive gap: users acquire easily but engage poorly, making them ripe for goal-driven alternatives.

Their Solution

Three-pronged attack exploiting investor mono-homing behavior. India adds 40 million demat accounts annually, with 81% from B30 cities. First-time investors typically mono-home on their initial platform due to high switching costs and KYC friction, making customer acquisition the critical battleground. Our strategy: intercept beginners through AI-powered goal mapping with vernacular support before they choose Groww/Zerodha. Phase 1: referral partnerships enable zero-friction onboarding. Phase 2: aggregator integration captures transaction revenue. Phase 3: direct AMC partnerships maximize margins. Unlike execution-first platforms, we own the decision layer where 69% struggle. While incumbents lose 2M users and face 88% SIP stoppage rates, we capture fresh cohorts and establish early portfolio stickiness.

RiViRu is Disrupting:

Anatomage Inc.

Their Strategy

We will make Anatomage's expensive hardware obsolete by delivering a pedagogically superior, AI-powered haptic VR anatomy tutor on a flexible and accessible SaaS subscription model.

S.P. Jain Institute of Management and Research
RiViRu Project

Their Case for Disruption

Anatomage's core vulnerability lies in its hardware-centric, high capital expenditure (CAPEX) business model. Their flagship Anatomage Table is expensive, non-scalable, and constrains learning to a single physical location. This creates a classic "innovator's dilemma": they cannot pivot to a flexible, low-cost Software-as-a-Service (SaaS) model without cannibalizing their primary revenue stream. Furthermore, their product lacks critical pedagogical features like haptic feedback for tactile learning and a sophisticated, personalized AI tutor, creating a significant product capability gap that an agile, AI-first startup can exploit.

Their Solution

Our strategy is to launch "Project Synapse," an AI-powered, haptic VR anatomy tutor delivered via a scalable SaaS model. We will neutralize Anatomage's data moat by initially using public datasets while building a proprietary library through academic partnerships. Our product will be pedagogically superior, integrating immersive VR for visualization, haptic gloves for crucial tactile feedback, and an AI tutor that personalizes learning and provides clinical context. By offering a more effective learning tool at a fraction of the upfront cost, we will democratize access and capture the market.

OG Union is Disrupting:

Anatara

Their Strategy

Digitise and democratise dignified ageing transforming senior care from luxury real estate to an accessible, AI-driven lifestyle ecosystem.

Masters' Union School of Business
OG Union Project

Their Case for Disruption

Antara represents the traditional, asset-heavy model of senior care premium residences, concierge health services, and curated living for India’s wealthy retirees. While it pioneered awareness around dignified ageing, its offerings remain geographically limited and unaffordable for over 90% of India’s seniors. This makes it an ideal target for a digital-first challenger that democratises access to elder lifestyle and wellness. SilverCare aims to expand the idea of ageing well beyond real estate to include digital community, preventive care, financial literacy, and purpose-driven living, delivered through an accessible, affordable platform model.

Their Solution

SilverCare will build an asset-light, tech-first elder lifestyle ecosystem that offers preventive health, social engagement, and micro-services through a single app. It will partner with local healthcare providers, senior communities, and insurance players to deliver “Antara-quality care at 1/10th the cost.” Using AI, the platform personalises wellness routines, care reminders, and community matching, creating scalable engagement. The go-to-market plan begins with metro city pilots, expands via family referrals, and transitions into a subscription-led model. Over time, SilverCare becomes the default operating system for ageing in India not gated communities, but connected lives.

Seishin is Disrupting:

CBRE

Their Strategy

We help power-hungry companies pick the right site and sign the first contracts in about two weeks—rank the options, lock the power, draft the paperwork, move.

KJ Somaiya Institute of Management
Seishin Project

Their Case for Disruption

CBRE’s strengths slow it down. Work is priced by effort, so deep automation can feel like lost revenue. Data sits in separate advisory, brokerage and management systems, which makes simple answers take days. Legal and brand risk also mean new tools roll out carefully. Meanwhile, power and permitting are the real blockers for data-center and industrial sites, and much of that still runs on calls, spreadsheets and email. Typical LOI plus PPA timelines are four to six months. Clients want live, MW-aware “what-ifs” on yield, ESG, grid reliability and incentives. A product that delivers this quickly, with guardrails, will win.

Their Solution

We’re building Megawatt Passport: a way to secure megawatts and the lease. It layers grid capacity/reliability, fibre/latency, zoning, flood/heat risk and incentives to rank sites by IRR, cash yield and CO2. One click drafts LOI and PPA redlines, then routes to lawyers for review. We’ll start in NCR, Hyderabad and Bengaluru. GTM is pay-per-screen for occupiers; free APIs let developers and power providers list supply. Our moat: corridor playbooks, utility/EPC/IPP ties, and a clause library that improves with every search. Pricing: ₹15,000 per screen plus a success fee on executed LOI or PPA. Outputs include an audit trail and CO2 metrics.

Skillio is Disrupting:

Upwork

Their Strategy

An AI-first merit-based marketplace that eliminates pay-to-play visibility, matching freelancers and clients through verified skill relevance, credibility, and project compatibility.

FLAME University
Skillio Project

Their Case for Disruption

Upwork’s marketplace is increasingly driven by pay-to-play visibility, where freelancers purchase boosts to gain exposure over those with genuine skill or relevance. This algorithmic bias undermines merit-based discovery, raising hiring costs for clients and discouraging talented freelancers who can’t afford visibility fees. Hence, clients face reduced ROI due to mismatched hires, while skilled freelancers face unfair competition. This erodes platform trust and user satisfaction. This creates space for a competitor that prioritizes transparent, skill-based discovery and AI-driven matching. This will ensure that credibility, portfolio quality, and project fit outweigh platform payments or manipulated metrics.

Their Solution

It centers on a specialised AI match-engine that transforms how employers discover freelancers. We start by breaking down employers’ job descriptions to identify specific skill requirements. Simultaneously, AI reviews portfolios, credentials, and completed projects to measure each freelancer’s true capability within the required skill domains. AI creates a transparent skill breakdown and calculates a percentage score, enabling employers to see how well each freelancer fits their requirements and shortlist confidently. As clients rate completed work, the system learns and updates scores. This way the proven skill earns higher visibility, pushing freelancers up the list without ads or low bids.

SolSquad is Disrupting:

CBRE

Their Strategy

SmartLease uses AI and blockchain to automate commercial leasing for drafting, verifying, and executing smart contracts instantly, replacing CBRE’s manual, relationship-driven model with a transparent, self-executing, and trust-based digital ecosystem

Indian Institute of Management, Kozhikode
SolSquad Project

Their Case for Disruption

CBRE’s vulnerability lies in its scale, legacy systems, and human-heavy processes. Leasing, valuation, and facility management still depend on brokers and manual documentation, which slows speed and inflates costs. Emerging AI-first proptechs like VTS, Reonomy, and JLL’s AI Labs show faster, data-driven decisions at 70% lower operational cost. CBRE’s vast data is siloed, and its enterprise focus leaves SMEs underserved, a $400 Bn opportunity. As blockchain-enabled smart contracts and AI valuations gain traction, CBRE’s reliance on institutional trust and people-based workflows becomes a structural weakness, making it highly exposed to agile, automation-native challengers.

Their Solution

Our strategy is SmartLease - an AI and blockchain smart-contract leasing platform that automates 80% of CBRE’s manual leasing cycle. AI copilots instantly draft compliant leases, while blockchain smart contracts execute rent, escrow, and renewals transparently. This reduces closure time from 30 days to under 1 hour and transaction costs by 90%. Verified on-chain data and AI risk scoring build digital trust, replacing CBRE’s human-dependent model. By targeting India’s fast-growing SME and flex-space market worth $50 B by 2028, SmartLease can democratize access, offering speed, transparency, and trust that CBRE’s legacy structure cannot match.

SPacious is Disrupting:

TCS

Their Strategy

We disrupt TCS by replacing their labor-intensive pyramid model with AI-powered outcome delivery, offering enterprise clients 50% productivity improvement at 6x faster speed through our "Productivity Insurance" platform.

S.P. Jain Institute of Management and Research
SPacious Project

Their Case for Disruption

TCS suffers from “incumbent’s dilemma”—their $27B revenue depends on headcount-based billing that AI threatens. They can’t cannibalize existing margins by adopting outcome-based pricing despite clients demanding it. Research shows 80% of enterprise customers discussed outcome-based pricing, but TCS is stuck in traditional models. Their 500,000-employee pyramid structure creates organizational inertia—any major change risks massive internal disruption. Cultural resistance to AI adoption (only 12% fully implemented) while paying lip service to innovation. Geographic concentration in legacy markets (54% US-dependent) limits agility. Most critically, they’re optimized for scale, not speed—fatal weakness against AI-first competitors who can deliver equivalent value with 10x fewer resources.

Their Solution

Launch “OutcomeFlow”—an AI-first services platform for TCS’s enterprise clients with guaranteed productivity improvements. Instead of selling hours, we sell measurable business outcomes using AI agents that do 70% of the work while human experts focus on strategy and client relationships. Target their most profitable segments (financial services, manufacturing) with “Productivity Insurance”—clients pay based on actual efficiency gains achieved. Our competitive advantage: 90% cost reduction through AI automation, 3-month vs 18-month delivery cycles, outcome-based SLAs and real-time progress tracking. Convert TCS clients by offering same deliverables at 50% cost with performance guarantees—their margin becomes our market entry.

SPJIMR Ken-sultants is Disrupting:

MakeMyTrip

Their Strategy

Our strategy is to outcompete siloed travel apps by creating a dynamic AI layer that automatically synchronises planning, booking, payments, and movement – turning fragmented travel into one self-managing experience.

S.P. Jain Institute of Management and Research
SPJIMR Ken-sultants Project

Their Case for Disruption

MakeMyTrip, Uber, and Ola have grown powerful but remain trapped in silos – each handle only one part of a user’s journey. Whether booking a cab, a hotel, or a short getaway, people still move between multiple apps, managing everything themselves. Their systems are built for transactions, not synchronisation. They solve isolated needs but don’t connect the entire experience. As users increasingly value comfort, speed, and seamlessness, this fragmented model feels outdated. AI can now bridge these gaps effortlessly, turning disjointed actions into one coordinated flow – a shift these legacy platforms aren’t structurally designed to make.

Their Solution

Our strategy is to build an AI-native platform that synchronises every movement in a person’s life – from daily commutes to weekend getaways – through one connected assistant. It understands intent, plans ahead, and executes automatically, booking cabs, autos, hotels, or flights without users switching between apps, with a smart wallet handling payments seamlessly. Every detail stays in sync – if plans change, bookings and payments adjust automatically. By uniting what MakeMyTrip, Uber, and Ola manage separately, we’ll create a single, effortless experience that brings together planning, booking, and movement into one continuous, intelligent flow.

Strategic Minds is Disrupting:

Nykaa

Their Strategy

Roséa leverages AI-driven personalization under the Product axis to transform Nykaa from a transactional beauty marketplace into an intelligent, adaptive beauty companion that curates hyper-personalized experiences for every user.

KREA University
Strategic Minds Project

Their Case for Disruption

Nykaa is vulnerable to disruption because its product recommendations and personalization remain largely static, while competitors like Purplle and Tira are rapidly integrating AI and data-driven experiences. Customers face overwhelming product choices, inconsistent shade matching, and low trust in online buying. Nykaa’s fashion and quick-commerce expansions have diluted its focus and profitability. Operationally, high customer acquisition costs and limited innovation in user experience make it slower to adapt. With newer entrants offering faster, more personalized, and tech-led platforms, Nykaa risks losing relevance among digital-native consumers seeking smarter and more intuitive beauty solutions.

Their Solution

Our strategy to disrupt Nykaa is centered around **Roséa**, an AI-first beauty advisor that delivers hyper-personalized, intelligent product discovery. While Nykaa’s experience is transactional and rule-based, Roséa uses computer vision and predictive algorithms to analyze skin tone, texture, preferences, and shopping patterns. It provides adaptive, real-time recommendations that evolve with every interaction, reducing choice overload and enhancing trust. By combining personalization, data intelligence, and seamless UX, Roséa transforms Nykaa’s static platform into a dynamic ecosystem. This AI-led approach strengthens customer loyalty, increases confidence in purchases, and redefines beauty retail through intelligent, continuously learning personalization.

Strategikon is Disrupting:

TCS

Their Strategy

Replace TCS’s human-heavy BPO empire with LLM. Powered automation that delivers outcomes at scale faster, cheaper, and more transparently

Indian Institute of Management, Kozhikode
Strategikon Project

Their Case for Disruption

TCS’s BPO business is too human-heavy for the LLM era. Their strength "massive manpower" is now a liability. Every repetitive task they price by full-time equivalent can now be automated by AI agents. But they can’t pivot fast without tanking margins or triggering layoffs. Add to that: government contracts tied up in paperwork, delayed SLAs, and multi-layered approvals ripe for transparent, automated systems powered by LLMs. Clients are noticing: “Why wait 2 weeks for a document check when an AI can do it in 2 seconds?” The cracks are visible, and the next wave of automation will flood right through them.

Their Solution

We’re building LLM-native BPO automation. A full-stack platform that replaces manual workflows—claims, KYC, documentation, citizen services—with intelligent AI agents that understand, process, and respond autonomously. Start with high-volume, rule-based tasks where TCS deploys armies of people: government back offices, BFSI operations, and telecom service desks. Then scale horizontally with APIs and compliance frameworks that integrate seamlessly. Our contracts flip the model: clients pay for outcomes—documents processed, SLAs met not people employed. With LLMs, we can deliver transparency, speed, and accuracy TCS can’t match without the overhead, politics, or delay.

Synergy is Disrupting:

Bosch

Their Strategy

We're making Bosch's ₹50,000-2,00,000 diagnostic hardware irrelevant by giving mechanics a free AI app trained on actual "jugaad" repairs, then making money through a spare parts marketplace built into the workflow.

KJ Somaiya Institute of Management
Synergy Project

Their Case for Disruption

The organization is really at risk because it relies heavily on selling premium hardware to structured service networks, like Maruti Suzuki's huge network of more than 4,500 service centers and Tata Motors' 1,600+ workshops, as shown in the official company disclosures for 2025. This model isn't really practical for most independent garages. With the market expected to grow at a rate of 8.1% CAGR based on GMI Research's forecast for 2025-2032, focusing on a specific niche might limit their ability to adapt quickly to the fast-changing environment caused by digital disruption.

Their Solution

We're planning to move past Bosch Limited's focus on hardware by using digital tools to help the unorganized service sector. We're working on a freemium mobile app that uses AI to help diagnose issues for a large number of the 340 million vehicles in India. If we can become the main tool for independent mechanics, we’ll bring together this scattered market and set up a new digital channel to grab a piece of the roughly ₹1 lakh crore aftermarket, based on ACMA's FY25 data.

Team Ananda is Disrupting:

Narayana Health

Their Strategy

We're launching Zest, a social wellness platform using AI-powered catchment area based "Health Circles" and gamified rewards to make prevention profitable, systematically eroding Narayana's hospital-centric business model from the ground up.

Manipal Academy of Higher Education
Team Ananda Project

Their Case for Disruption

Narayana's vulnerability is its business model. Its profitability hinges on filling its 7,000+ beds. Every preventative success we create is a direct threat to their revenue. This model is already showing cracks, with key metrics like cardiac occupancy recently dipping to 68%. Their technology, like the Athma OS, is built to optimize internal hospital efficiency, creating a critical blind spot to a patient's life outside their walls. They see a patient episodically. We aim to see them continuously, allowing us to preempt the very events that fill their beds.

Their Solution

We will launch Zest, a social wellness platform that makes prevention profitable. Zest organizes users into "Health Circles" that foster community-led well-being. Our AI Health Coach gamifies healthy habits into "Zest Points," which convert into tangible rewards like lower insurance premiums. Our freemium model removes the barrier to entry, contrasting sharply with Narayana’s typical ₹700+ upfront fees. By building a trusted, continuous relationship with users and proving outcomes, we will become the new front door to healthcare, making Narayana's reactive, hospital-first approach a last resort.

Team Caseaholics is Disrupting:

Grant Thornton Bharat

Their Strategy

We democratize business consulting for Indian MSMEs through an AI-powered platform enriched by a crowdsourced intelligence ecosystem.

Xavier Labour Relations Institute
Team Caseaholics Project

Their Case for Disruption

Grant Thornton Bharat relies on a high-cost, labor-intensive consulting model that is structurally unsuited for serving the vast Indian MSME market. This traditional approach, centered on large enterprise clients and proprietary, partner-led solutions, creates a significant strategic blind spot. Consequently, most MSMEs find their services inaccessible and unaffordable, clashing with their tight budgetary constraints. This operational framework leaves the rapidly expanding MSME sector, a fundamental driver of India’s economic growth and employment, critically underserved by established advisory firms. The firm's fundamental inability to scale personalized, cost-effective solutions for millions of smaller businesses exposes a major disruption opportunity.

Their Solution

Our strategy is to deploy a proprietary AI as the core of a fractional consulting service for Indian MSMEs. This AI's initial engagement is a free diagnostic “MSME Health Tool,” which funnels users into a subscription model where the AI generates customized strategic roadmaps and data-driven benchmarks. Our definitive advantage lies in how this AI learns: a unique, multi-loop data ecosystem continuously fed by MSME data, solutions from B-school professors, MBA students, and insights from practicing consultants & veterans. This creates a perpetually self-improving intelligence moat, delivering business advisory at a scale and cost incumbents cannot replicate.

Teen Patti is Disrupting:

Narayana Health

Their Strategy

We intercept and manage cardiac-risk patients before they need costly operations, through an AI-native subscription platform that stops the chronic disease acceleration fuelling operating rooms.

Indian Institute of Management, Ahmedabad
Teen Patti Project

Their Case for Disruption

Narayana's optimized 40-procedures-per-day cardiac surgery model generates structural rigidity. Their high fixed costs (operating theatres, specialist fees of ₹6-7 lakh/month) need continuous patient volume, hence are susceptible to funnel disruption. They have no credibility for preventive care: patients do not believe in a hospital offering "prevention" when its profitability is tied to surgeries. Their centralized infrastructure cannot provide continuous, personalized chronic disease management at scale. AI-born platforms, on the other hand, can monitor 24/7 vitals, forecast cardiac risk, and intervene early. These abilities have zero physical infrastructure and provide 10x superior unit economics compared to hospital-based models. Narayana's surgeon-focused culture will not cannibalize its own surgical top line to establish real prevention.

Their Solution

We'll launch CardioShield, a D2C AI-powered chronic disease management platform targeting India's 100+ million hypertension and pre-diabetic patients. Our tiered subscriptions (₹199/month for AI monitoring, ₹599/month including quarterly diagnostics via partner labs) use wearables and smartphone integration to track vitals, predict cardiac events, and deliver personalized nudges. We partner with existing diagnostic chains (Thyrocare-like networks) for tests, avoiding hospital infrastructure entirely. We use the past reports, scan them, analyse them and predict better than existing solutions. Starting with pilots in Tier-2 cities (Ahmedabad, Jaipur), we'll validate our cardiac event reduction claims, then scale nationally. Our goal: keep 100,000 users healthy, preventing 2,000-3,000 surgeries annually directly eroding Narayana's patient pipeline. We turn Narayana’s biggest strength—its volume-driven surgical dependence into its biggest weakness by eliminating the need for those surgeries through proactive, AI-led risk interception.

Tek-Ken 2 is Disrupting:

General Insurance Council

Their Strategy

EasyBeema delivers efficient, transparent reinsurance through AI-driven marketplaces, parametric simulations, and syndicates, redefining B2B coverage with proactive risk tools and fast resolutions.

Indian Institute of Management, Kozhikode
Tek-Ken 2 Project

Their Case for Disruption

GIC's vulnerabilities include its bureaucratic legacy and mandatory cessions (4%), distorting competition and straining private insurers' profits. Manual processes cause 30-60 day delays and 20-25% denials in auto/health reinsurance. Outdated tech limits real-time risk assessment for natural calamities. Focus on large-scale backing overlooks digital efficiency. EasyBeema exploits this with AI marketplaces for direct matching, parametric models for auto-payouts, and syndicates for underpricing, targeting primary insurers seeking alternatives. This captures market share by fostering transparency and speed in India's growing general insurance sector.

Their Solution

EasyBeema disrupts GIC Re with a B2B AI platform for primary insurers. Our digital marketplace (blockchain-enabled) lets insurers trade risks directly, bypassing brokers. Parametric simulations use AI/IoT for auto-payouts in NatCat, crowdsourcing from global providers. AI syndicates underprice GIC with real-time data. Intuitive designs make placements seamless. This ties to low-cost treaties via prevention, clear claims through triggers, and risk awareness via simulations. No-code stacks enable fast iteration, stealing share from GIC's ecosystem by offering efficient, transparent reinsurance alternatives that erode its mandatory cessions.

Tenacious is Disrupting:

Narayana Health

Their Strategy

Partnering with MFIs and SHGs to embed ₹250 preventive screenings into loans, while disrupting incumbents by cutting late-stage cases, and shifting towards preventive healthcare.

S.P. Jain Institute of Management and Research
Tenacious Project

Their Case for Disruption

Narayana's vulnerability is architectural, not operational. Their ₹5,700 crore revenue engine requires sick patients filling 7,000+ hospital beds at 60-65% occupancy to generate surgical volumes. We will compete with their business model by choking the supply of late-stage patients. Their expansion strategy compounds this weakness: The hub-and-spoke model places flagship hospitals in urban centers ensures that rural India remains a blind spot. Hence, by embedding prevention into the ₹3 lakh crore MFI loan ecosystem, we've solved rural distribution economics they cannot match.

Their Solution

Our B2B2C platform aims to choke the supply of late-stage hospital cases and include rural India by • We propose partnering with MFIs and SHGs to acquire customers from day one by bundling a ₹150 loan-linked, non-invasive screening for Anaemia, Breast Cancer (clinical exam), and Cervical Cancer, leveraging their field agent networks for immediate outreach and impact. • Creating our proprietary database, capturing health data, demographics, and financial behaviour for a population that is currently a data black hole. • AI-Underwritten Micro-Insurance: Hyper personalized health insurance with dynamic premiums based on actual risk, disrupting the one-size-fits-all insurance market. • Flagging high-risk individuals by referring them to the appropriate level of care (PHCs, district hospitals), making us the gatekeeper of the patient journey.

The 3 marketeers is Disrupting:

Practo

Their Strategy

We will outsmart Practo by creating an AI-driven health companion that acts as a personal diagnostic guide helping users understand symptoms, find the right care instantly, and rendering Practo’s passive doctor-directory model irrelevant.

Altera Institute
The 3 marketeers Project

Their Case for Disruption

Practo’s model prioritizes doctors and clinics over patients, creating an inherent trust and experience gap. Users struggle to find the right doctor or receive symptom-based guidance, as the platform functions more like a digital directory than a care companion. Doctors and regulators have flagged opacity in “Practo Reach” paid listings and unclear follow-up pricing, reducing credibility. The user experience has stagnated, with persistent issues in profile accuracy, availability, and post-consultation engagement. As India’s health ecosystem shifts toward open, interoperable networks under ABDM and UHI, Practo’s closed, doctor-centric model is increasingly outdated leaving room for an AI-driven, transparent, patient-first disruptor.

Their Solution

We will launch Triage AI, an intelligent, patient-first healthcare ecosystem built atop India’s Unified Health Interface and ABHA framework. Instead of browsing endless doctor listings, users simply describe their symptoms. The AI instantly performs triage, educates them on possible conditions, identifies the right specialist, and enables instant booking or teleconsultation with vetted doctors. It learns continuously from outcomes, improving accuracy over time. Doctors join freely, verified through performance data and community feedback. A freemium, usage-based model ensures accessibility, basic triage and guidance remain free, while advanced consultations or reports are paid. This transparent, AI-led experience redefines convenience and trust in digital healthcare.

The D Company is Disrupting:

Narayana Health

Their Strategy

We resolve healthcare's fundamental investor-delivery dissonance through an AI-powered health assurance model that makes financial success dependent on keeping populations healthy rather than treating them when sick.

Xavier Labour Relations Institute
The D Company Project

Their Case for Disruption

Narayana suffers from fundamental investor-healthcare dissonance: their financial success requires sickness, while societal value comes from wellness. Their massive hospital infrastructure creates a cost structure that demands high procedure volumes, making preventative care economically unattractive. This misalignment makes them vulnerable to a model that resolves this conflict. We exploit this by building a system where financial returns improve as population health improves, creating perfect alignment between investor returns and healthcare outcomes; something Narayana's physical-asset-heavy model cannot achieve.

Their Solution

We are launching an AI-powered health assurance collective that resolves the investor-healthcare dissonance. Our system uses AI to create dynamic health risk profiles and automatically allocates member premiums into personalized "Prevention Wallets." These wallets fund OPD consultations, targeted screenings, and wellness programs that our AI identifies as most impactful. By financially rewarding prevention rather than treatment, we create perfect alignment between financial success and health outcomes—something hospital-dependent models like Narayana's cannot replicate.

Meeshorama is Disrupting:

Indiamart

Their Strategy

We’re building an AI procurement agent that replaces IndiaMART’s messy lead system with an intelligent layer that understands intent, finds the right supplier, negotiates, and closes the deal — instantly.

Mesa School of Business, Bengaluru
Meeshorama Project

Their Case for Disruption

IndiaMart stands exposed to disruption because its foundation is still lead-generation, not seamless transactions. Despite boasting over 170 million buyers and 7 million sellers, barely 5% of inquiries turn into real orders. The platform’s lack of transparent pricing, genuine verification, and after-sales accountability leads to friction and mistrust. With sellers replying manually and listings staying static, personalization and spam filtering remain weak, and hence the need for disruption.

Their Solution

We’re replacing IndiaMART’s chaos of calls and quotes with an AI procurement agent (agentic commerce) that actually gets the job done. Instead of generating leads, our agents execute — they understand the buyer’s requirement, find verified suppliers, negotiate prices, suggest best prices, once confirmed ensure fulfillment, and track delivery. For sellers, it means zero wasted leads and instant qualified demand; for buyers, it means procurement in minutes, not days. The platform learns with every transaction, improving accuracy and trust over time. In short: no spam, no chasing, no uncertainty, just intelligent, verified, end-to-end B2B commerce.

The Kin is Disrupting:

BookMyShow

Their Strategy

Our strategy is to provide real-time, location-specific, personalised event recommendations and a ticketing platform using a proactive AI companion that leverages a person’s calendar, digital footprint and self-fed preferences.

S.P. Jain Institute of Management and Research
The Kin Project

Their Case for Disruption

72% of users feel overwhelmed by too many entertainment options, leading to decision paralysis (Deloitte Digital Media Trends, 2024). The model is impersonal and reactive, where users don't discover but search. It doesn’t tell you what you didn’t ask for, unlike platforms like Swiggy or Instagram, that anticipate your choices. There’s no social element, making entertainment feel transactional rather than shared. Without personalisation, it misses how today’s youth engage with curated, local experiences. In short, BookMyShow is a powerful utility, but a poor companion in an era of intelligent, connected experiences. The experience is solitary, ending at the QR code.

Their Solution

Our solution transforms BookMyShow’s impersonal, search-based model into a proactive companion powered by AI. It integrates personalised recommendations from users’ social interactions, self-fed preferences, and real-time behaviour updates. By sourcing events from Instagram feeds and Facebook pages, it captures both mainstream and micro-experiences. A conversational AI then uses the user’s calendar, location, and mood data to plan their evening by recommending nearby cafes or booking spontaneous events. By eliminating decision paralysis, utilising push notifications, and owning the entire social planning journey, we evolve BMS from a ticketing utility into an intelligent social life curator that understands, anticipates, and accompanies users.

The Last of the Starks is Disrupting:

CBRE

Their Strategy

We’ll replace its manual advisory model with an Agentic-AI-based platform that automates the entire customer journey.

Indian Institute of Management, Ahmedabad
The Last of the Starks Project

Their Case for Disruption

CBRE’s $9.61B Advisory and Capital Markets division faces disruption from slow, opaque, and siloed operations. Manual valuations delay deals, while limited transparency and fragmented teams reduce efficiency. High fixed fees make repeatable tasks costly, and clients receive static reports instead of real-time insights. With relationships as its edge, CBRE lags behind AI-driven rivals. Its high-cost model excludes mid-market clients, leaving a $2–$3B opportunity untapped. These inefficiencies (speed bottlenecks, opacity, and poor scalability) make CBRE’s advisory business vulnerable to agile, data-first disruptors delivering transparent, and cost-efficient capital markets solutions.

Their Solution

Our strategy is to re-engineer CBRE’s advisory services through CapitalLens, an AI augmented valuation and scenario platform for institutional clients. Instead of relying on traditional consulting practices, CapitalLens automates discovery, valuation, credit structuring, and lender matching in one workflow. It delivers instant insights with adjustable assumptions and human-audit support for complex deals. By integrating advisory and financing intelligence, it reduces turnaround from weeks to hours, thereby cutting costs and improving decision speed. This solution exploits CBRE’s bureaucratic inertia and data silos, building a learning advantage from every executed deal. This turns their scale and legacy complexity into our competitive weapon.

The Maratha Meta is Disrupting:

CRISIL

Their Strategy

We turn sustainability proof into profit replacing ESG claims with verified data that decides who gets advantage in finance and trade.

Crucible Institute of Management
The Maratha Meta Project

Their Case for Disruption

CRISIL’s ESG model is top-down and slow. It collects data once a year, usually through surveys, while regulations like SEBI’s BRSR+ and the EU’s CBAM demand continuous, auditable proof. Its structure and revenue depend on large clients, not the MSME network that drives most Indian exports. As demand grows for verified factory data, CRISIL’s system can’t scale or adapt quickly. It lacks real-time visibility, digital verification methods, and integration with lenders or buyers. That leaves a wide opening for a effective, bottom-up model that proves sustainability where it happens on the factory floor.

Their Solution

We’ll replace disclosure-based ESG scores with verified data. Our Green Credit Score (VeriScore) converts real factory operations energy use, waste handling, safety logs into trusted evidence. We certify this data and connect it directly with banks, insurers, and global buyers. Once financial institutions start rewarding verified factories with lower loan rates or preferred contracts, CRISIL’s outdated, top-down ratings lose value. We’ll scale quickly through MSME clusters and export associations, becoming the new proof layer that underwrites industrial trust.

The Sunset Club is Disrupting:

Zillow Group

Their Strategy

Leveraging AI-verified digital twins and smart-contract escrow to turn real estate into self-verifying digital assets connecting genuine buyers and owners directly, without brokers.

Indian Institute of Management, Calcutta
The Sunset Club Project

Their Case for Disruption

1. Economic model risk: Over 65 % of Zillow’s revenue comes from broker advertising and lead sales disintermediation strikes its core. 2. Experience gap: The platform remains 2D and static in an era of immersive 3D visualisation and AI-powered virtual tours. 3. Trust erosion: Frequent Zestimate inaccuracies and fraudulent listings undermine user confidence. 4. Regulatory opportunity: Governments are digitising land registries. India’s DILRMP has covered about 95 % of rural records enabling scalable AI verification. 5. Platform inertia: Zillow cannot alienate brokers who fund it; a broker-independent entrant can redefine transparency and ownership trust.

Their Solution

We will build MetaEstate, an AI-native property intelligence platform that automates trust, not listings. Using smartphone or drone footage, AI generates semantic digital twins enriched with structural and environmental data, not just visuals. Each property receives a verified digital passport, where AI cross-checks ownership, valuation fairness, and liveability from registry and utility data. Transactions occur through AI-guided smart contracts with dynamic escrow, releasing funds once digital conditions are met. By replacing broker-driven listings with self-verifying assets, MetaEstate becomes the world’s first autonomous, trust-certified real estate marketplace.

THE THIRD ANGLE is Disrupting:

Larsen & Toubro (L&T)

Their Strategy

Making construction intelligent, autonomous, and workforce-augmented through an AI-powered operating system for the unorganised infrastructure sector.

Crucible Institute of Management
THE THIRD ANGLE Project

Their Case for Disruption

L&T’s biggest vulnerability is its dependence on manual monitoring, human operators, and outdated coordination systems. The shortage of skilled machinery operators slows project delivery and impacts quality. Its data is trapped in silos—ERP tools capture inputs but not insights. The company’s bureaucracy restricts agility, and innovation cycles move too slowly to compete with AI-native firms. L&T’s scale, once a strength, is now an anchor. The unorganised mid-tier contractors they ignore can adopt AI-first, modular tools faster. Their inefficiencies in workforce management, predictive planning, and material optimisation create a perfect gap for a new kind of infra-tech disruptor.

Their Solution

We’re building BuildFlow, an AI-powered infrastructure operating system that automates construction execution end-to-end. It tackles core inefficiencies—material wastage, time delays, and workforce shortages—through predictive analytics, real-time monitoring, and an AI-guided workforce assistant. BuildFlow integrates IoT sensors, drones, and digital twins to detect deviations, predict maintenance, and optimise workflows. Its unique AI technique enables virtual machine operation guidance, training unskilled operators with AR/VR and real-time AI co-pilots. By empowering mid-sized contractors with industrial-grade intelligence, BuildFlow turns the unorganised construction ecosystem into a network of AI-augmented builders—reducing project time by 30% and waste by 25%.

The Underdogs is Disrupting:

McKinsey

Their Strategy

Build a voice-first MoneyOS for GenZ to understand and manage finances effectively by aggregating and contextualizing real-time financial and spending data that act as the foundation for differentiated insights & advisory offerings.

Indian School of Business
The Underdogs Project

Their Case for Disruption

Rich, real-time and relevant data. We could provide Nike, pro-active heads-up about Neeman’s rapidly capturing market share in Bangalore, with an action plan, rather than waiting to be summoned by Nike. We’ll have access to spending and financial behavior for millions of GenZ users as it actually happens, not as self-reported in surveys. More importantly, we’ll know the context behind every transaction. For instance, we’ll know that a ₹1.5L “Shopping” expense includes a flight ticket. This level of precision makes our insights far more actionable than the delayed, and hypothesis-based reports offered by traditional market research or consulting firms.

Their Solution

We’ll first build a voice-first platform that helps GenZ understand and manage their money effortlessly. Users willingly share email and SMS access for added context and auto-classification. They are incentivized to categorize unclassified UPI transactions (Eg:auto), improving accuracy for everyone and split transactions with friends/groups, creating network effects and increasing switching costs (think Splitwise without manual data-entry). Once we have a critical number of users, the insights based on aggregate data would be second to none, further enhanced by the advisory arm. Neither Nielsen nor McKinsey will build these, because they are not in the personal finance space.

Think Sphere is Disrupting:

CBRE

Their Strategy

Disrupt CBRE by creating an AI-first real estate-as-a-service platform that delivers faster, smarter, and cheaper solutions than traditional advisory models.

Chitkara University - Chandigarh
Think Sphere Project

Their Case for Disruption

CBRE’s dependence on proprietary data and human networks is open to AI automation. Startups can utilize public data and satellite images to compete with CBRE’s analytics, lowering costs. Its large-scale, high-cost model ignores mid-sized firms, creating a market gap. CBRE’s size slows its shift to cutting-edge AI, unlike agile startups. Recent advancements in AI allow for real-time analytics, narrowing the data gap. New platforms could bypass CBRE’s established relationships with AI-driven tools, diminishing its advantage. By focusing on specific services like site selection, startups can gradually chip away at CBRE’s market share with specialized, cost-effective solutions.

Their Solution

We will launch an AI-powered proptech platform to automate site selection and lease management for mid-sized firms. Using generative AI, satellite imagery, and public records, it will provide fast, affordable, tailored recommendations that undercut CBRE’s high-cost model. A user-friendly interface will improve the client experience, while predictive analytics will rival CBRE’s data edge. Strategic partnerships with local brokers will ensure we reach the market effectively. By concentrating on cost efficiency and speed, we will attract mid-sized clients that CBRE overlooks. Our flexible approach leverages recent AI advancements, enabling real-time insights and scalability to disrupt CBRE’s dominance in commercial real estate services.

Thunder Down Under is Disrupting:

CBRE

Their Strategy

Our strategy redefines real-estate advisory by using AI agents to replicate CBRE’s core functions like leasing, valuation, and ESG intelligence at a fraction of the time and cost.

Indian Institute of Management, Ahmedabad
Thunder Down Under Project

Their Case for Disruption

CBRE’s strength, which is its size, legacy data, and global client network has become its vulnerability. The company relies excessively on manual processes that it cannot scale or automate without reducing its own fee-based model. In India, leasing processes averages ~8–10 weeks, with brokers facilitating every decision from search to contract signing and this increases response time for smaller clients and eliminates transparency. CBRE’s digital tools have only addressed efficiency, not disrupting solutions. In contrast, AI-first competitors, can automate discovery, pricing, and ESG reporting that can provide speed, openness, affordability in structuring offers that CBRE's strategy cannot easily replicate.

Their Solution

We are focused on the mid-market segment of CBRE with an AI-first solution to manage and streamline leasing, valuation, ESG, and regulatory compliance. Our digital co-broker will shortlist spaces, generate letters of intent, and rank sites based on various considerations including commute, ESG, and overall compliance with regulation. Our advanced AI models review legislative updates in real-time, identify compliance shortcomings, and direct users on the next steps needed. By building compliance into workflows, we reduce mistakes while improving speed and providing transparency at substantially less cost and time than CBRE’s model, which is manual and broker dependent.

ThunderThinkers is Disrupting:

Hotel chains

Their Strategy

Deploy a network of AI-powered, tech-enabled HaloPods in high-traffic transit hubs, offering travelers a flexible, affordable, and secure by-the-hour accommodation solution that traditional hotels cannot match.

Indian Institute of Management, Kozhikode
ThunderThinkers Project

Their Case for Disruption

The traditional hotel industry is vulnerable due to its high fixed costs, slow technological adoption, and rigid business model. Their significant investment in large real estate properties and high staffing levels makes it economically unfeasible to offer low-cost, by-the-hour rates. This contrasts with our model's space efficiency. Their legacy booking and management systems are difficult to adapt for a seamless, AI-powered digital experience. Offering a flexible short-stay product would also risk cannibalizing their core, more profitable overnight business, creating internal resistance to change.

Their Solution

Our strategy is to launch a branded network of tech-enabled, HaloPods in prime transit locations. We will offer an affordable, by-the-hour pricing model that directly addresses the needs of underserved segments like transit passengers, students, and young professionals. The entire customer journey will be managed through a seamless mobile app, featuring contactless check-in and digital keys. We will integrate AI to optimize pricing dynamically, personalize the guest experience (triggers to extend booking in case of flight/train delays), and enhance security, creating a superior and more efficient alternative to traditional hotels.

Transformers is Disrupting:

Narayana Health

Their Strategy

Personalised AI Digital twin to know what’s happening inside your body right now.

Indian Institute of Management, Calcutta
Transformers Project

Their Case for Disruption

The Healthcare industry is booming, but fragmented, making it vulnerable to disruption. In particular, Narayana Health is a huge chain with strong resources. While strength is in numbers, numbers may lack nimbleness. It’s often the small and agile that innovate faster, both due to their desire to grow big and the less risk involved compared to a larger name. Secondly, Narayana Health is more on the reactive side, treating patients, performing surgeries. But for the healthy masses, there is few and far between. If we target this population, we get an edge when they come over to healthcare’s reactive side.

Their Solution

We are targeting preventive healthcare. From protein bars to gym subscriptions, people today are concerned about their health. But, they don’t know how an ingredient/activity might affect their health. Internet Prognosis can cause more diseases than it can heal! We propose an AI digital twin of an individual that tracks everything a person eats and does, by connecting to food delivery, quick-commerce apps with wearables and exercise trackers, etc. to show the Real Time impact on the body. These reactions will show when someone should schedule their next appointment, blood tests, consultations, etc., clubbed with a dynamically-changing health insurance.

Uprise is Disrupting:

CBRE

Their Strategy

Guarantee building outcomes with an AI “OpsTwin,” then use the data exhaust to win leasing and advisory share.

Indian Institute of Management, Calcutta
Uprise Project

Their Case for Disruption

Scale creates latency. CBRE runs people-heavy contracts (T&M/fixed) and fragmented systems (BMS, CAFM, IoT). Rolling autonomy across heterogeneous estates demands re-plumbing tech, retraining field ops, and cannibalising billable hours. Procurement now values auditable “proof-meters” for energy, comfort, and carbon, weakening relationship moats. Outcome underwriting (e.g., PUE 1.45 ± tolerance, MTTR −35 %) needs telemetry + actuarial logic—hard to retrofit into global processes. India-specific frictions (InfoSec, vendor lock-ins, DPIA reviews) slow exposure of building-level data. When results become the SKU, a focused AI operator can out-learn and out-ship the incumbent.

Their Solution

Deploy OpsTwin—an agentic operating layer plugging into BACnet/Modbus BMS, smart meters, CCTV edge, CAFM and vendor apps—to sell outcomes (uptime, PUE/kWh/m², MTTR, comfort, carbon). Beachhead: data-centre campuses with PUE-as-a-Service and uptime guarantees via shared-savings contracts; Day-28 acceptance report shows logs, baselines, and third-party assurance. Two flywheels: VendorGraph (verified technicians + parts, quality scores, transparent pricing) and LeaseIntel (utilisation heatmaps, cost-to-serve/sqm, fit-out signals). Monetise platform fee + savings share + analytics SKUs, expanding to Grade-A offices, GCC parks and REITs.

We ken't do this anymore is Disrupting:

Narayana Health

Their Strategy

We make every prescription into clear, easy to understand and accessible at all times.

Indian Institute of Management, Indore
We ken't do this anymore Project

Their Case for Disruption

Narayana Health’s growth depends on complex hospital systems and doctor workflows that are hard to change. Its digital push is focused inside the hospital, not where patients first interact-clinics and OPDs. This makes it slow to react to simpler, patient-friendly tools like ours. Large systems take years to test, approve, and train. PrescriptAI can be used by any doctor with a phone or laptop. It’s faster, cheaper, and doesn’t depend on big hospital infrastructure. By solving one simple problem-making prescriptions digital and readable-we attack the weakest link in their ecosystem: outpatient experience and patient data continuity.

Their Solution

Our plan is to make PrescriptAI the easiest way for doctors to create and store prescriptions. Each patient gets a unique ID. Doctors speak their prescription into the system, and AI converts it into a digital version-clear, stored, and shareable. Patients can access it anytime, and hospitals or pharmacies can link to it. This builds medical history automatically. While Narayana focuses on internal systems like Athma, we’ll focus outside-in clinics and smaller hospitals-to build India’s outpatient data layer. Once adoption grows, even Narayana will need to connect to our network. That’s how we disrupt from the edges.

We-Ken-Do is Disrupting:

MakeMyTrip

Their Strategy

We’re bringing an AI disruption that transforms trip planning from picking packages to curating experiences built around you.

Indian Institute of Management, Kozhikode
We-Ken-Do Project

Their Case for Disruption

MakeMyTrip perfected an era that no longer exists. It scaled faster than it evolved, it’s built for bookings, not for intelligence. Its systems optimise prices and routes but never adapt in real time. Travelers today expect awareness, not automation. Myra answers questions, our AgenticAI anticipates them. The company’s size slows it down with layered approvals, legacy tech, and data trapped in silos. It can react, but it cannot sense. That’s its vulnerability. Travel no longer starts with search now, it starts with understanding. MakeMyTrip built convenience. We’re building consciousness, the shift from planned journeys to journeys that plan themselves.

Their Solution

Our strategy is to build WanderWise — an AI-powered, emotionally intelligent travel co-pilot that visualises your journey on an interactive map. Using generative and agentic AI, it curates dynamic, budget-friendly itineraries layered over real geography — letting users browse, compare, and modify routes with a simple drag-and-drop. Each stop comes alive through user-generated photos, vlogs, and reviews, blending data with human stories. Think ChatGPT meets Google Maps meets your dream travel agent. Each persona bot — from Wild Steve to Serene Sana — evolves with you, transforming travel from a static plan into a living, co-created experience.

Breaking Moats is Disrupting:

CBRE

Their Strategy

Democratize CBRE-grade real estate intelligence through an AI platform that reads documents, builds living data twins, and predicts risk and ESG opportunities without solely relying on consultants.

Mudra Institute of Communications, Ahmedabad
Breaking Moats Project

Their Case for Disruption

CBRE’s scale is its weakness. Its business model relies on AI-assisted and human-led consulting, proprietary data, and high-touch contracts, all difficult to scale or productize. Ellis AI is built for internal use, not for open access, limiting innovation speed. The firm’s structure, compliance, and brand positioning prevent it from serving smaller, faster clients profitably. In an AI-first world, value shifts from expert-driven interpretation to autonomous, self-serve insight. CBRE cannot pivot without cannibalizing its advisory revenue. This leaves an enormous gap: agile mid-market players craving instant, affordable, AI-led property intelligence, a space CBRE’s enterprise DNA can’t occupy.

Their Solution

Our strategy is to re-engineer CBRE’s advisory services through CapitalLens, an AI augmented valuation and scenario platform for institutional clients. Instead of relying on traditional consulting practices, CapitalLens automates discovery, valuation, credit structuring, and lender matching in one workflow. It delivers instant insights with adjustable assumptions and human-audit support for complex deals. By integrating advisory and financing intelligence, it reduces turnaround from weeks to hours, thereby cutting costs and improving decision speed. This solution exploits CBRE’s bureaucratic inertia and data silos, building a learning advantage from every executed deal. This turns their scale and legacy complexity into our competitive weapon.

Shortlists

Teams nationwide submitted their disruption strategies targeting real-world incumbents. They had to identify which incumbent they'd disrupt, pinpoint its vulnerabilities, and explain how they'd exploit those weaknesses. Here are the submissions that made it to the initial shortlist.

Narayana Health (38) Zerodha (25) CBRE (16) Netflix (4) McKinsey (4) MakeMyTrip (4) Byju’s (4) Sun Pharma (4) Swiggy (3) HDFC Bank (3) Zomato (3) Naukri.com (3) Myntra (2) KPMG India (2) Allen Career Institute (2) Tinder (2) Google (2) Practo (2) Workday (2) Blinkit (2) Tata Motors (2) LinkedIn (2) Saville & Holdsworth Limited (1) Heads Up For Tails (1) 100X.VC (1) Malabar Gold & Diamonds (1) Apollo Hospitals (1) ICICI Lombard (1) Apple (1) Reliance Retail (1) ThirdBridge (1) Voltas Ltd. (1) Asian Paints Ltd. (1) Motilal Oswal Private Wealth (1) Unstop (1) Anatara (1) Facebook (1) Life Insurance Corporation (1) 360One (1) Allied Universal (1) GradeSense (1) Tableau (1) Bloomberg (1) Zoom (1) Unacademy (1) Max Healthcare (1) ITC e-Choupal (1) Wysa (1) IBM Envizi (1) Colgate (1) Odoo (1) Medi Assist (1) Deloitte India (1) Nestle India Ltd. (1) Razorpay (1) Indiamart (1) The Ken (1) Travelduniya (1) Airbnb (1) Urban Company (1) Times Group (1) Bajaj Finserv (1) Mahindra Powerol (1) Shaadi Squad (1) Crowdstrike (1) Porter (1) Indigo (1) Portea Medical (1) Dhirubhai Ambani International School (DAIS). (1) Tally (1) Groww (1) Cadbury (1) Booking.com (1) Amul (1) Cred (1) Instagram (1) DMart (1) Bosch India (1) Amazon Kindle (1) Amazon India (1) TIME (CAT coaching) (1) Vakilsearch (1) Dentsu (1) Haldirams (1) Salesforce CRM (1) Coursera (1) Zepto (1) UGRO Capital (1) Shaadi.com (1) Agarwal Packers and Movers (APML) (1) Uber (1) SBI Life (1) Hindustan Unilever (1) WheelsEye (1) Samsung (1) Housing.com (1) Emoha Eldercare (1) Drools Pet Food (1)

XL Co is Disrupting:

Saville & Holdsworth Limited

Strategy

We combine established psychometric building blocks with AI powered scoring and vernacular delivery to democratise competency assessment into low cost, frequent, and portable career intelligence for India.

Xaviour Labour Relations Institute

Kenvolutionaries is Disrupting:

Myntra

Strategy

Redefine online fashion by turning AI into your personal stylist, make-up artist, and shopper, powered by your own photos.

Masters' Union School of Business

FurSight is Disrupting:

Heads Up For Tails

Strategy

Our strategy disrupts HUFT by building a scalable, AI-driven, full-stack pet care ecosystem that combines pilot clinics, predictive health and nutrition, standardized grooming, rapid clinic acquisitions, and lifecycle retention to deliver uniform, personalized, and long-term pet care.

Indian Institute of Management, Lucknow

AiAmAl is Disrupting:

Netflix

Strategy

We will disrupt OTT and social media platforms by delivering short, attention-grabbing clips that are AI-generated, hyper-personalized, and trend-driven, capturing attention in the modern mobile-first entertainment landscape.

Indian Institute of Management, Ahmedabad

Machiavellis is Disrupting:

100X.VC

Strategy

We will democratize early-stage business advisory by using agentic AI to provide instantaneous, hyper-customized, high-fidelity business simulations and reports, making human consulting obsolete for the first 90% of the planning phase.

Indian Institute of Management, Ahmedabad

Partal is Disrupting:

Narayana Health

Strategy

We are building Amazon Health OS—a trusted, ABDM-linked platform that uses Alexa + wearables for preventive care, Oracle cloud for EHR insights, and Amazon’s last-mile rails for tele-consults, diagnostics, and pharmacy delivery—rerouting demand upstream and making Amazon the front door to end-to-end healthcare in India.

Indian Institute of Management, Lucknow

PREDACONS is Disrupting:

Narayana Health

Strategy

Our product is a privacy-first AI home companion that monitors the overall health of family members and provides continuous engagement for seniors and children; reducing hospital visits and providing superior care.

Indian Institute of Management, Ahmedabad

Go Through is Disrupting:

Malabar Gold & Diamonds

Strategy

Transform Malabar’s traditional gold business into a fully AI-enabled, instant-value, customer personalized, and theft-proof digital retail ecosystem.

Altera Institute

Turing is Disrupting:

Narayana Health

Strategy

Shift India’s healthcare from hospital-based treatment to an AI-powered, continuously learning preventive-care network.

Indian Institute of Management, Kozhikode

High Distortion is Disrupting:

CBRE

Strategy

Democratize CBRE-grade real estate intelligence through an AI platform that reads documents, builds living data twins, and predicts risk and ESG opportunities without solely relying on consultants.

Mudra Institute of Communications, Ahmedabad

Ken Giants is Disrupting:

SAP

Strategy

Turn passive CX analytics into active AI-driven execution for automotive OEMs and dealers.

Management Development Institute, Gurgaon

Finsight is Disrupting:

Swiggy

Strategy

We will outsmart Swiggy by creating a hyperlocal, AI-powered, community-first food delivery network that’s faster, fairer, and greener.

IFMR Business School - Chennai, Tamil Nadu

Triple Edge Sword is Disrupting:

Apollo Hospitals

Strategy

Continuous, AI-driven audit automation—anchored to leading accreditation standards—replaces episodic manual reviews with real-time, data-backed assurance for hospital quality management.

Crucible Institute of Management

The Kennel is Disrupting:

Narayana Health

Strategy

We are building an AI-powered ecosystem that unbundles the hospital, offering consumers fast, subscription-based preventive screenings in urban pods and giving elite surgeons the freedom to use our on-demand, hyper-efficient surgical facilities.

Indian Institute of Management, Kozhikode

MU Nexus is Disrupting:

ICICI Lombard

Strategy

We will fix the core customer-insurer trust deficit by using AI to offer transparent, customized policies while simultaneously monetizing the vast industry-wide claims leakage through a self-funding, performance-based automation platform.

Masters' Union School of Business

1nvincibles is Disrupting:

KPMG India

Strategy

Our goal is to tackle the neglected mid market with a subscription based, AI-powered platform that streamlines and automates transaction advice and project management and delivers transparent solutions with outcomes most relevant for our customers

Indian Institute of Management, Indore

Case o Ken is Disrupting:

Apple

Strategy

We aim to transform the smartphone market by delivering flagship-level performance via the cloud, decoupling user experience from expensive hardware, and creating a subscription-driven, hardware-agnostic ecosystem that makes high-end mobile experiences accessible to everyone.

KJ Somaiya Institute of Management

Back from the Dead is Disrupting:

Narayana Health

Strategy

Leverage AI to create a patient-centric, predictive, and transparent healthcare ecosystem that enhances trust, optimizes operations, and opens new revenue streams.

S.P. Jain Institute of Management and Research

Solution Strategists is Disrupting:

Zerodha

Strategy

Create an AI-driven, social, and cross-asset investing platform that transforms retail trading from transactional to intelligent and community-based.

Indian Institute of Management, Calcutta

MindMesh is Disrupting:

McKinsey

Strategy

We deliver an AI-powered, human-verified strategic brain that provides companies continuous, predictive, and actionable intelligence faster, smarter, and at a fraction of traditional consulting costs.

S.P. Jain Institute of Management and Research

First Principles is Disrupting:

Zerodha

Strategy

Create the first fully connected AI brokerage where no-code editors, agentic tools, and proprietary small models work together to make intelligent trading free and habit-forming.

Masters' Union School of Business

Invisible Spirits is Disrupting:

Zerodha

Strategy

Our dual-AI strategy disrupts Zerodha by using a proactive Nudge Engine to activate the ₹24.5 lakh crore in idle funds and a personalized AI Coach to guide "Uninformed" and "Casual" investors through their fear and complexity.

Indian Institute of Management, Kozhikode

Nexus is Disrupting:

Reliance Retail

Strategy

Turn every store into a learning organism: sensing demand, reshaping itself hourly, and fulfilling faster than Reliance can reorganize.

Flame University

MU Visionaries is Disrupting:

ThirdBridge

Strategy

Turn “book a call” into “ship an outcome”: diagnose, match in ≤48h, govern delivery with escrow + acceptance tests, and prove ROI.

Masters' Union School of Business

Three Graces is Disrupting:

Voltas Ltd.

Strategy

Transform post-purchase pain into premium delight with an AI-driven service platform that gives every Voltas customer a trustworthy, proactive experience.

Altera Institute

Tripod3 is Disrupting:

Asian Paints Ltd.

Strategy

We will disrupt Asian Paints by building an AI-powered D2C platform that starts with DIY consumers to refine data, logistics, and painter networks, then expands into DIFM services offering personalized, global design painting at lower prices (due to removal of dealer’s share in margin).

Xaviour Labour Relations Institute

Ektosa is Disrupting:

Motilal Oswal Private Wealth

Strategy

We’re turning Motilal Oswal’s elite wealth model into an AI-powered, affordable family office for India’s middle class.

Indian Institute of Management, Calcutta

Visionone is Disrupting:

Unstop

Strategy

An AI-first platform that converts contest attention into verified work portfolios and outcome-based hiring, so recruiters pay for hires and students build hire-ready track records.

Masters' Union School of Business

Code-pendent is Disrupting:

Narayana Health

Strategy

We’re replacing Narayana’s hospital-led digital empire with a patient-owned, AI-driven health network that makes every individual their own Narayana Health.

Indian Institute of Management, Calcutta

Mission Improbable is Disrupting:

Zerodha

Strategy

I will disrupt Zerodha by creating a social trading platform with community features, AI-driven guidance, and better customer support to attract younger investors.

IFMR Business School - Chennai, Tamil Nadu

RSN Eldercare is Disrupting:

Anatara

Strategy

Digitise and democratise dignified ageing transforming senior care from luxury real estate to an accessible, AI-driven lifestyle ecosystem.

Masters' Union School of Business

Three musketeers is Disrupting:

Facebook

Strategy

Challenge existing social media sites through strategy-structure-culture alignment more suited to a post truth world.

Indian Institute of Management, Calcutta

Stravio is Disrupting:

ZARA

Strategy

We will launch a Generative AI platform that converts real-time visual trend data into manufacturing-ready digital designs, cutting the fast-fashion concept-to-shelf cycle to 7-8 days, thus making ZARA's current 10-21 day model obsolete.

Indian Institute of Management, Kozhikode

Kennovation is Disrupting:

Narayana Health

Strategy

Use AI to convert Narayana’s episodic, surgery-centric value chain into a subscription-based, continuous preventive care ecosystem that stops disease before it reaches hospital doors.

FORE School of Management

Team Insight Out is Disrupting:

CBRE

Strategy

We’re building the Palantir of Real Estate, where every building tells the truth about itself.

Indian Institute of Management, Kozhikode

Delta Thinkers is Disrupting:

Zerodha

Strategy

We’re transforming investing from a technical task into a personalized conversation powered by AI.

S.P. Jain Institute of Management and Research

sixbytwo is Disrupting:

Life Insurance Corporation

Strategy

Replacing an obsolete, high cost and inefficient life insurance industry by leveraging AI and changing the way industry works by adding new incentives for users.

BITS Pilani

DemandEd is Disrupting:

Allen Career Institute

Strategy

We’re building an AI powered system that sparks curiosity and adapts learning to each student’s cognition, at a scale no human system ever could.

Flame University

Bads of caseywood is Disrupting:

Zerodha

Strategy

Building a SEBI compliant AI assisted blockchain platform that enables tokenised stock trading through smart contracts with instant settlement and zero brokerage.

Symbiosis International University

Hidden Gems is Disrupting:

360One

Strategy

Democratising personal wealth-management through an AI-first, vernacular personal finance manager for every Indian saver.

Indian Institute of Management, Ahmedabad

GMT Capital is Disrupting:

Allied Universal

Strategy

Replace routine human monitoring with AI driven multimodal cameras that detect incidents, automate responses, and deliver guaranteed guard hour reductions via a subscription model.

Indian Institute of Technology, Madras

Osaka Tigers is Disrupting:

MakeMyTrip

Strategy

We will make MakeMyTrip's exhausting search interface irrelevant by offering a personal AI travel agent that plans and books a perfect, trusted trip through a simple conversation.

Indian Institute of Management, Bangalore

Neovate is Disrupting:

HDFC Bank

Strategy

Transform consented financial data into privacy-safe, AI-powered insight APIs that outlearn HDFC Bank’s legacy systems and monetize intelligence faster than its product cycles.

Indian Institute of Management, Calcutta

Armageddon is Disrupting:

Narayana Health

Strategy

We'll disrupt Narayana Health by launching an AI-first healthcare coordination platform that eliminates their hub-and-spoke inefficiencies with autonomous care orchestration, reducing patient wait times by 70% while maintaining their cost-efficiency advantage.

KJ Somaiya Institute of Management

kentanyl is Disrupting:

Zerodha

Strategy

An AI-native brokerage called Saga that overcomes the industry's trust barrier by deploying Explainable AI to deliver proactive, transparent, and outcome-optimized financial advice.

SSN College

Reboot is Disrupting:

Myntra

Strategy

AuraFit disrupts Myntra by offering AI-powered, cross-category, mood-aware fashion and beauty discovery that is faster, personalized, and socially integrated

Indian Institute of Management, Ahmedabad

I'm just Ken is Disrupting:

Narayana Health

Strategy

Turn hospitals inside-out by giving every Indian an always-on AI doctor, rewarding them for staying healthy, and sending only the sickest 5% to a nationwide network of smart micro-clinics.

Indian Institute of Management, Kozhikode

IntelliGrade is Disrupting:

GradeSense

Strategy

Transform grading from a mechanical correction process into an intelligent, feedback-driven learning ecosystem that evolves with every student submission.

Masters' Union School of Business

Phoenix is Disrupting:

Tableau

Strategy

InsightFlow will disrupt Tableau the same way ChatGPT disrupted Google — by skipping the middle step and going straight to answers

S.P. Jain Institute of Management and Research

Enigma 2.0 is Disrupting:

Zomato

Strategy

Building a one-stop, AI-powered human assistant (your personal Jarvis) that offers end-to-end, habit-changing convenience by connecting food, grocery, mobility services, and much more through partnerships and open networks like ONDC to create a truly neutral, intelligent platform that redefines everyday tasks.

Indian Institute of Management, Lucknow

Three Mus(KEN)teers is Disrupting:

Narayana Health

Strategy

We will replace hospital-centric, reactive care with a tech-enabled, subscription-based preventive care model that keeps people healthier and out of hospitals.

BITSOM

MUtants is Disrupting:

Tinder

Strategy

Build an AI companion dating platform that eliminates human rejection and dating burnout by providing personalized, always-available emotional relationships that remember users deeply, targeting Gen Z's loneliness epidemic with a business model Tinder cannot replicate without destroying their human-matching revenue foundation.

Masters' Union School of Business

DingDingDingDing is Disrupting:

Google

Strategy

With our idea, where we would like to create a platform where people can compare prices across major e-commerce and retail and when this happens, we expect most of the consumers to utilize our platform to search for products. Now, this gives a major hit to the google as their revenue from "Sponsored ads" would no longer be attractive to advertisers.

Indian School of Business

We Ken is Disrupting:

Google

Strategy

We are disrupting Google Maps by building the intelligent execution layer for mobility that their information-first model fundamentally cannot, transforming the user's fragmented journey into a single, seamless, and proactively managed experience.

S.P. Jain Institute of Management and Research

The phoenix analysts is Disrupting:

Bloomberg

Strategy

We aim to leverage Bloomberg’s exclusive financial intelligence and make it universally accessible through a flexible, AI-powered, browser-based platform, while integrating micro-subscriptions to enhance accessibility.

Flame University

Lift is Disrupting:

Zoom

Strategy

Launch Lift as a Zoom overlay that runs meetings and proves outcomes, monetize per-seat/value-share, then graduate customers to Lift Rooms with superior latency/analytics - culminating in cross-meeting memory that becomes the organization’s decision-intelligence layer.

Indian School of Business

Invincible Educators is Disrupting:

Unacademy

Strategy

We plan on providing a customized and outcome focused tutoring platform that follows flexi-pricing to cater underserved students in order to outplay Unacademy.

FLAME University

Nova 2.0 is Disrupting:

Max Healthcare

Strategy

Use empathetic, multilingual AI agents and predictive triage to make post-hospital care intelligent, automated, and indispensable—transforming hospital discharge into a recurring relationship.

Indian Institute of Management, Ahmedabad

In Essence is Disrupting:

Netflix

Strategy

To disrupt Netflix by launching an AI-powered social layer that transforms passive, solitary viewing into an active, community-driven experience, creating a defensible moat built on network effects rather than content spend.

Masters' Union School of Business

Team Multiplier is Disrupting:

Zerodha

Strategy

Turn static investments into instant, credit-backed liquidity within every UPI transaction—allowing liquidity while pursuing returns.

Institute of Management Technology, Ghaziabad

TanThinker is Disrupting:

Narayana Health

Strategy

A medical-grade conversational interface be developed to collect structured patient data and integrate information from wearable devices and local healthcare resources such as teleconsultations, pharmacies, and insurance providers. The clinical and economic impact of this system can be demonstrated through a pilot focused on cardiac and diabetes care. Scaling should be achieved through per-member-per-month (PMPM) or shared-savings contracts and the use of open application programming interfaces (APIs) to facilitate network effects.

IFMR Business School - Chennai, Tamil Nadu

Strategia is Disrupting:

Narayana Health

Strategy

We will pioneer an AI-powered, patient-first healthcare ecosystem integrating digital innovation and continuous care to redefine accessibility, quality, and efficiency at scale.

Mesa School of Business, Bengaluru

Prithvi is Disrupting:

Zerodha

Strategy

We aim to disrupt Zerodha by creating FinPilot, an AI-powered investment companion that transforms trading into a personalized, emotionally intelligent, and education-driven experience.

KREA University

Krazy Krusaders is Disrupting:

ITC e-Choupal

Strategy

Give farmers hyper-local, AI-powered, voice-first farming information that gives them power—something that ITC's old e-Choupal can't do

Indian Institute of Management, Kozhikode

Hi Barbie! is Disrupting:

Narayana Health

Strategy

Our strategy is to deploy an Agentic AI Mesh to build a zero-friction, continuous health management ecosystem, compelling Narayana Health to transition from facility-centric provider to an AI-augmented care coordinator.

Indian Institute of Management, Ahmedabad

Kenomics is Disrupting:

Wysa

Strategy

We will disrupt the impersonal chatbot model by deploying an AI-powered holographic therapist to deliver an emotionally immersive, culturally adaptable and truly human-like mental health experience anytime, anywhere.

KJ Somaiya Institute of Management

The Originals is Disrupting:

Byju’s

Strategy

Make a smarter, more personal, and trustworthy learning app that students actually enjoy—and parents can afford.

IFMR Business School - Chennai, Tamil Nadu

ThinkKen is Disrupting:

IBM Envizi

Strategy

Use AI to make carbon tracking and reduction simple and affordable for every small business.

BITSOM

Case catalyst is Disrupting:

Colgate

Strategy

Disrupt Colgate by offering personalized, eco-friendly, and tech-driven oral care products through a direct-to-consumer, subscription-based model.

IFMR Business School - Chennai, Tamil Nadu

Crack the Code is Disrupting:

Zomato

Strategy

A zero-commission, community-based food delivery model offering fair, affordable, and local alternatives to Zomato.

IFMR Business School - Chennai, Tamil Nadu

VyapaarAI is Disrupting:

Odoo

Strategy

VyapaarAI gives every MSME a predictive, personalized AI consultant that forecasts demand, optimizes operations and pinpoints the best low-cost expansion opportunities.

Altera Institute

Strike Hard is Disrupting:

Medi Assist

Strategy

We will turn claims settlement from a weeks-long opaque process into an instant, transparent, API-driven hospital-to-insurer transaction, by all integrity.

KJ Somaiya Institute of Management

The Shillong Disruptors is Disrupting:

Deloitte India

Strategy

Democratize professional consulting for India’s MSMEs using AI-driven, performance-based pricing and community-embedded delivery—capturing the consulting whitespace Deloitte’s economics exclude. Democratize professional consulting for India’s MSMEs using AI-driven, performance-based pricing and community-embedded delivery—capturing the consulting whitespace Deloitte’s economics exclude.

IFMR Business School - Chennai, Tamil Nadu

CapitalZ is Disrupting:

Nestle India Ltd.

Strategy

Disrupt Nestle by turning food into a personalized, AI powered service that evolves with every bite.

Krea University

XLR8 is Disrupting:

LIC

Strategy

We use AI-driven peer-to-peer pooling to deliver highly personalized insurance that is ~20% cheaper with instant claims processing, directly undercutting LIC’s legacy, high‑cost model.

Xaviour Labour Relations Institute

dhuadhaar is Disrupting:

Razorpay

Strategy

We're building the self-optimizing payment infrastructure that makes merchants more money by aligning our success with theirs—something Razorpay's volume-based business model and legacy architecture will never allow them to do.

Masters' Union School of Business

Blind spotters is Disrupting:

Netflix

Strategy

Disrupt Netflix by replacing passive streaming with AI-powered, creator-driven, interactive entertainment.

KREA University

The Incredibles is Disrupting:

Indiamart

Strategy

We’re building an AI procurement agent that replaces IndiaMART’s messy lead system with an intelligent layer that understands intent, finds the right supplier, negotiates, and closes the deal — instantly.

Mesa School of Business, Bengaluru

The third wheeler is Disrupting:

Narayana Health

Strategy

We will use AI to transform healthcare from hospital-centric “sick-care” to a delightful, proactive wellness service that catches health issues early—outmaneuvering Narayana Health by keeping patients healthier for longer.

Xaviour Labour Relations Institute

Blahblah is Disrupting:

Zerodha

Strategy

Empowering investors to outsmart their own emotions—AI that coaches, not advises.

International Management Institute, New Delhi

Team 105 is Disrupting:

Narayana Health

Strategy

Build an AI-first platform that delivers personalized, proactive patient care across the entire journey, integrating with Narayana’s Athma ecosystem to unify digital touchpoints and improve outcomes, engagement, and trust.

Plaksha University

Comets is Disrupting:

The Ken

Strategy

AI-powered short business videos that hook attention, personalize delivery, and funnel users into deeper paid content.

Masters' Union School of Business

ReCode Health is Disrupting:

Narayana Health

Strategy

We will intercept the consumer in their daily 'Life Journey,' using an AI Health Twin to prevent them from ever needing to start the hospital-centric 'Patient Journey.'

Indian Institute of Management, Ahmedabad

DisruptCareX is Disrupting:

Practo

Strategy

Turn every Narayana Healthcare discharge into a lifelong digital relationship, eliminating third-party apps by owning the entire post-discharge care experience.

Masters' Union School of Business

KenPaglu is Disrupting:

Workday

Strategy

We're turning HR software into something that actually knows and cares about each employee individually, delivering personalized experiences that boost engagement and retention while costing half as much as existing solutions.

Indian Institute of Management, Trichy

HappyFeet is Disrupting:

Narayana Health

Strategy

We standardize how small clinics run a visit so AI and on-device monitoring can quietly handle prevention, booking, consent, and insurance before any hospital brand steps in.

Indian Institute of Management, Ahmedabad

Team LMNTRIX is Disrupting:

HDFC

Strategy

We are introducing a vernacular voice-driven artificial intelligence finance assistant that organizes a small business's accounts and cash flow in live time and then sources that business credit using the open banking and OCEN networks in India, in a way that can leapfrog HDFC Bank's paper-based SME lending model.

Institute of Management Technology, Ghaziabad

Case Comp Bros is Disrupting:

McKinsey

Strategy

Democratising consulting, making every strategy project implementable through SaaS as a advisor.

Indian Institute of Management, Kozhikode

Kreators is Disrupting:

Zerodha

Strategy

TradeMate is an Investment Buddy, which will train, educate and guide you with the use of Artificial Intelligence and predictive methods.

IFMR Business School - Chennai, Tamil Nadu

skyrocket is Disrupting:

Travelduniya

Strategy

To aggregate diverse travel service providers on a single platform to offer buyers greater choice, transparency, and competitive pricing while expanding market reach for suppliers

Indian Institute of Management, Trichy

B's on Top is Disrupting:

Zerodha

Strategy

Build an AI-native, behavioral-finance investing OS that automates goal-based, drawdown-capped, post-tax-optimized portfolios across tokenized global assets with transparent receipts—reducing reliance on broker-centric, manual trading.

Indian Institute of Petroleum Engineering

KenZer Catalyst is Disrupting:

Zomato

Strategy

We aim to reconnect people with local cooks by offering fresh, fairly priced meals that build trust, community, and genuine food experiences.

IFMR Business School - Chennai, Tamil Nadu

Cognito is Disrupting:

Airbnb

Strategy

We will disrupt Airbnb by building a curated, high-quality booking platform for professional vacation rental managers, offering a superior and consistent guest experience through a subscription-based, partner-centric model.

IFMR Business School - Chennai, Tamil Nadu

IdeaBox is Disrupting:

Urban Company

Strategy

Turn UC’s one-off gig slots into compounding specialist-client relationships using AI memory and continuity scoring.

Indian Institute of Management, Kashipur

AINNOVATORS is Disrupting:

Times Group

Strategy

Changing time-sharing surviving employees into information-sharing thriving citizens by disrupting media industry and providing personalized knowledge .

Indian Institute of Management, Bangalore

ViKS is Disrupting:

EY India

Strategy

Reimagine the year-end PDF audit as a real-time API that boards, lenders, and regulators will believe more than EY's sample with ongoing, population-complete assurance rooted in India's live fiscal data trains (IRP, GST, XBRL).

Indian Institute of Management, Calcutta

KenKonquerors is Disrupting:

Allen Career Institute

Strategy

From one-size-fits-all coaching to one-to-one learning experience for every aspirant.

Indian Institute of Management, Lucknow

Trailblazers is Disrupting:

Bajaj Finserv

Strategy

FinSight AI is an AI intelligence layer for India's Account Aggregator network that transforms raw data into a predictive "Financial Health Scorecard," enabling lenders to reduce risk and make instantly accurate underwriting decisions.

S.P. Jain Institute of Management and Research

Team Superb is Disrupting:

CBRE

Strategy

Our AI assistant acts as a direct-to-customer guide, leveraging the entire broker network to instantly find the best properties.

Mesa School of Business, Bengaluru

JSY is Disrupting:

McKinsey

Strategy

We are democratizing top-tier strategic consulting by replacing McKinsey’s expensive, time-bound, human-led retainer model with an AI-powered, success-based Strategy-as-a-Service subscription platform.

KREA University

Katalyst is Disrupting:

Mahindra Powerol

Strategy

Empowering rural India with a mobile, solar-powered multi-utility unit that replaces costly diesel pumps and generators through a community-led, sustainable business model.

Indian Institute of Management, Kozhikode

THE SPARTANS is Disrupting:

Zerodha

Strategy

Turn noisy chatter and news into a simple, trusted card per stock—fair value, risk–reward, and clear warnings.

Indian Institute of Management, Kashipur

Whatever is Disrupting:

Zerodha

Strategy

We challenge Zerodha head on by slashing micro trade fees, letting investors team up to share stocks, and enabling auto trading, making investing smarter, cheaper, and far more collaborative than anything they offer.

RV University

Cheetahs@ISB is Disrupting:

Shaadi Squad

Strategy

Evently transforms Shaadi Squad’s handcrafted artistry into an AI-driven, mass-market platform that elevates discovery, creativity, and coordination – delivering premium, low-stress event experiences at accessible prices.

Indian School of Business

B27 is Disrupting:

Narayana Health

Strategy

We will disrupt Narayana Health by replacing their reactive, hospital-centric model with a proactive, AI-powered subscription service that keeps patients healthy and out of hospitals, capturing the market before the point of care.

S.P. Jain Institute of Management and Research

Evolution of Revolution is Disrupting:

HDFC Bank

Strategy

Disrupt HDFC Bank’s legacy loan ecosystem through an AI-powered, data-inclusive credit engine delivering 2-minute instant loans to India’s underserved borrowers.

PSG College of Technology

Ken Ten is Disrupting:

CBRE

Strategy

Use AI to turn fragmented CRE discovery and dealmaking into a real-time, self-serve experience, flipping CBRE’s human-heavy model on its head

Masters' Union School of Business

Ken-novators is Disrupting:

SAP

Strategy

Build the world’s first AI-native, culture-intelligent HR ecosystem that transcends HR into a strategic unit, by addressing systemic inadequacies and seamlessly integrates recruitment, performance management, learning, legal, talent management and wellbeing into 1 adaptive platform delivering real-time, personalized & evidence-based people decisions.

S.P. Jain Institute of Management and Research

3 musketeers is Disrupting:

Narayana Health

Strategy

Enable every patient to access affordable, continuous healthcare by integrating local clinics, doctors, pharmacies, and medicine delivery into one AI-powered smart health ecosystem—eliminating dependence on large hospitals.

Masters' Union School of Business

JSFC is Disrupting:

Tinder

Strategy

We are turning dating from a swipe marathon into a smart shortcut, where your AI twin finds chemistry before you even say ‘hi’.

Indian School of Business

DESIGNERS is Disrupting:

Sun Pharma

Strategy

MedIntel replaces biased pharma rep networks with a trusted AI copilot that ensures ethical, data-driven prescribing aligned with India’s digital health vision.

Indian Institute of Management, Sambalpur

Bright Stores is Disrupting:

Blinkit

Strategy

We turn neighborhood supermarkets into a unified omnichannel network where live shelf inventory meets online baskets and local fulfillment.

Xaviour Labour Relations Institute

SaSoRi is Disrupting:

Crowdstrike

Strategy

We're building the security layer for India's internal AI workforce where companies create and deploy departmental agents that keep business logic locked away, even when employees are talking directly to them.

Masters' Union School of Business

Three Eyed Mavens is Disrupting:

CRISIL

Strategy

Use explainable AI and real-time alternative data to replace CRISIL’s static credit ratings with continuous, API-based credit intelligence for India’s MSME and private credit sectors.

Xaviour Labour Relations Institute

Pinnacle Players is Disrupting:

Zerodha

Strategy

We will build an AI-powered brokerage app with algorithmic trading and personalized investment advice on a freemium model, outpacing Zerodha’s manual approach.

Indian Institute of Management, Lucknow

Kenetic Breakers is Disrupting:

Naukri.com

Strategy

Replace Naukri’s access model with an AI Agent that guarantees shortlists in 120 hours, charges only on success, and compounds a defensible outcome-data flywheel.

Indian School of Business

Ken Masters is Disrupting:

CBRE

Strategy

We are launching an AI-powered co-brokerage platform that halves transaction fees by blending tech-driven efficiency with human trust, paving the way for a fully autonomous real estate exchange.

Masters' Union School of Business

onix is Disrupting:

MRF

Strategy

Transform tyres into AI-connected, EV-ready smart assets through intelligent distribution, predictive IoT, and data-driven design.

IFMR Business School - Chennai, Tamil Nadu

Triple Sichuan is Disrupting:

Zerodha

Strategy

A Platform harnessing cutting-edge tools and AI brokers that delivers adaptive insights, explains strategies in plain language, and guides users seamlessly from learning to investing, with feedback, all backed by a strong AI-enabled customer support system, making stock market participation more granular, engaging, and confidence-driven for all.

KJ Somaiya Institute of Management

IIMAgineers is Disrupting:

Narayana Health

Strategy

AI-powered integrated preventive healthcare ecosystem that dynamically predicts health scores to reward customer wellness with insurance premium discounts while providing single-point-of-contact care from prevention to surgery.

Indian Institute of Management, Ahmedabad

Visioncraft sentinels is Disrupting:

Narayana Health

Strategy

Health checkups integrated insurance that rewards healthy consumers with lower premiums through free health assessments and dynamic pricing, making coverage affordable for mass markets and providing routine checkups to the policyholders, aligning incentives of both consumers and the insurer.

S.P. Jain Institute of Management and Research

SPlendid is Disrupting:

Porter

Strategy

We’ll disrupt Porter by replacing its linear delivery economy with an AI-driven, household-powered pickup economy that monetizes product after-life, serving as a crucial link in the circular economy.

S.P. Jain Institute of Management and Research

Ascendants is Disrupting:

Byju’s

Strategy

Transform education from video watching to experience based learning through immersive and intelligent VR environments.

IFMR Business School - Chennai, Tamil Nadu

Buzz maker is Disrupting:

Swiggy

Strategy

We aim to disrupt Swiggy by leveraging AI and hyperlocal vendor partnerships to deliver faster, more reliable service, better customer experience, and scalable, profitable operations.

IFMR Business School - Chennai, Tamil Nadu

Convex is Disrupting:

Sun Pharma

Strategy

We’re redefining early-stage drug discovery with an AI-powered asset engine that identifies and acquires high-value assets far faster than Sun Pharma’s traditional pipeline.

Masters' Union School of Business

Test Case is Disrupting:

Narayana Health

Strategy

Disrupt Narayana Health by creating an AI-powered, digital-first preventive care ecosystem that offers personalized, data-driven health management beyond hospital walls.

Indian Institute of Management, Nagpur

Azure Dragon is Disrupting:

Indigo

Strategy

IndiGo must transition from cost leadership to value innovation to stay ahead of emerging competition focused on sustainability, experience, and regional growth.

IFMR Business School - Chennai, Tamil Nadu

vitatrack is Disrupting:

Portea Medical

Strategy

We’re turning elder care from slow and manual to smart and automatic using AI to protect lives in real time.

Chitkara Institute

Prodigy is Disrupting:

Dhirubhai Ambani International School (DAIS).

Strategy

We will render the industrial model of elite education obsolete by creating a neuro-adaptive ecosystem that is not only demonstrably more effective but also profoundly more human.

KJ Somaiya Institute of Management

Merger Minds is Disrupting:

Narayana Health

Strategy

We're creating India's health operating system where your first thought about healthcare isn't "which hospital?" but "let me check my HealthBase."

KREA University

Gamechangers is Disrupting:

Naukri.com

Strategy

Turn India’s job search from résumé hunting to AI-powered career navigation.

Masters' Union School of Business

Casecompchamps is Disrupting:

Workday

Strategy

Build a modular, AI-native HR platform that replaces Workday’s rigidity with predictive, personalized, and conversational talent tools.

KREA University

IMI TEAM is Disrupting:

MakeMyTrip

Strategy

Build a unified AI travel concierge that automates every trip element — from itinerary to bookings — through a single conversational interface

International Management Institute, New Delhi

Delorean Dynamite is Disrupting:

Tally

Strategy

Our strategy is to disrupt Tally by capturing the massive market of Kirana owners with a radically simple, vernacular-first mobile app that uses voice commands and a visual interface to solve their operational problems.

Masters' Union School of Business

Novatrax is Disrupting:

Groww

Strategy

Turn investing from a transactional act into an intelligent, guided, and social journey powered by AI.

Indian Institute of Management, Ahmedabad

Go Getters is Disrupting:

Tata Motors

Strategy

Launch an integrated, app-first micro-mobility EV subscription service to offer a superior total cost of ownership and bypass TML's legacy dealership network.

FORE School of Management

The Zen is Disrupting:

Sun Pharma

Strategy

Help hospitals treating PM-JAY patients stay within government package limits by guiding doctors toward affordable, equivalent medicines at the point of prescription.

S.P. Jain Institute of Management and Research

APP Wizards is Disrupting:

Cadbury

Strategy

Win everyday chocolate moments with taste-matched, sugar-free chocolate made from traceable regenerative cocoa—serving normal consumers, diabetics, and gifters through D2C and modern retail.

Indian Institute of Management, Lucknow

The North Star is Disrupting:

Narayana Health

Strategy

We will capture Narayana Health’s inefficient patient front door by deploying Sahayak AI as an indispensable, ABDM-native intelligence layer that eliminates OPD bottlenecks and converts inefficiency into a strategic data asset.

Masters' Union School of Business

Dynamo is Disrupting:

Narayana Health

Strategy

Transform Narayana Health into a trusted, affordable, and AI-driven health companion that enters people’s lives at the earliest sign of illness—making preventive care simple, personal, and accessible for all.

Indian Institute of Management, Kozhikode

KENOUGH is Disrupting:

Booking.com

Strategy

A real-time, cross-vendor TripOS that executes travel decisions so plans adapt to you, not the other way around.

Mudra Institute of Communications, Ahmedabad

Barbies and Ken is Disrupting:

Amul

Strategy

Using AI-driven ingredient discovery and consumer prediction, we’ll create nutritionally superior, plant-based products that mirror the taste and texture of dairy products without the harmful health and environmental effects, capturing the next generation of Indian consumers.

Indian School of Business

Stein Gate is Disrupting:

Zerodha

Strategy

Use free AI education to acquire tier 2/3 investors, convert them to paying subscribers through transparent AI advisory that Zerodha's zero-brokerage brand prevents them from offering, then monetize through subscriptions and financial product ecosystem.

Indian Institute of Management, Bangalore

MyCFO.AI is Disrupting:

Cred

Strategy

To turn every Indian’s credit card into a profit centre through AI-driven optimization, transparency, and automation.

Masters' Union School of Business

Zero gravity is Disrupting:

Zerodha

Strategy

I'd create a community-first investment platform where AI-powered personalized coaching and gamified learning help everyday investors build confidence and skills together, earning revenue through subscriptions and education partnerships instead of relying on risky derivatives trading.

Indian Institute of Information Technology, Dharwad

Aura Farmers is Disrupting:

Instagram

Strategy

Instagram monetizes on user attention by selling it to advertisers whereas Aura monetizes on the intrinsic value of human memories.

Indian Institute of Management, Ahmedabad

MyDoc.AI is Disrupting:

Practo

Strategy

Provide trusted and personalized family doctor using AI consultations overseen by a network of verified specialists anytime anywhere.

Indian Institute of Management, Ahmedabad

Team TriSpark is Disrupting:

DMart

Strategy

Zippy brings DMart prices into the AI age: groceries that understand you, arrive faster than your hunger, and make shopping feel like magic, not a task.

Indian Institute of Management, Bangalore

tashi nikunj is Disrupting:

Bosch India

Strategy

By offering millions of mechanics a free, AI-powered mobile diagnostic platform, we will take over the unorganized majority of India's ₹1 lakh crore aftermarket. This will render Bosch's pricey hardware outdated, and we will make money through a high-volume spare parts marketplace.

KJ Somaiya Institute of Management

Chain Reaction is Disrupting:

Blinkit

Strategy

We drive higher AOV by reimagining quick commerce as an interactive, personalized retail experience, not just a transactional utility.

Mesa School of Business, Bengaluru

LearnByDoing is Disrupting:

Narayana Health

Strategy

Deliver affordable, AI-driven preventive care subscriptions powered by India’s digital health infrastructure and longitudinal family data, providing real-time incentives and measurable risk reduction to keep Indian families healthy while reducing dependence on hospital-centric services.

Masters' Union School of Business

DynastyDrivers is Disrupting:

MakeMyTrip

Strategy

We are creating an AI-first, socially connected travel ecosystem that transforms travel from static booking to adaptive, personalized journey design.

Indian Institute of Management, Kozhikode

Tip Tip Barsa Money is Disrupting:

Amazon Kindle

Strategy

Revolutionize reading by transforming traditional books into immersive, AI-driven AR/VR experiences inviting readers to step inside story worlds and engage with narratives like never before.

Symbiosis Institute of Media and Communication

Technique is Disrupting:

Zerodha

Strategy

Disrupt Zerodha by building The AI Co-Pilot, a dedicated, high-trust, freemium platform that uses generative AI to provide real-time, auditable, personalized investment rationales and confidence scores to solve financial decision paralysis without ever executing a trade autonomously.

IFMR Business School - Chennai, Tamil Nadu

Barbie'Kue is Disrupting:

CBRE

Strategy

Turn CRE advisory + execution into a software-priced, SLA-guaranteed per-desk subscription delivered by AI agents and local vendors.

Indian Institute of Management, Kozhikode

David's sling is Disrupting:

Narayana Health

Strategy

We plan to disrupt Narayana Health by integrating AI/ML in diagnostics, real-time monitoring, and predictive analytics augmented with responsible data governance and genomic insights to shift its model from reactive treatment to proactive, personalized preventive healthcare.

Indian Institute of Management, Kashipur

CATALYST is Disrupting:

Zerodha

Strategy

We disrupt Zerodha by launching Ghost Trader, an AI-powered shadow portfolio that brutally quantifies the cost of emotional trading and gamifies discipline.

Masters' Union School of Business

2Kens1Barbie is Disrupting:

Amazon India

Strategy

Reimagine online shopping as a social, guided "virtual mall day" that combines immersive discovery, AI concierge advice, live support and easy purchasing to increase conversion in areas where Amazon performs poorly.

Indian School of Business

ILV is Disrupting:

TIME (CAT coaching)

Strategy

A privacy-first, on-device tutor that guarantees correctness, personalises relentlessly, and proves measurable score-lift at prices offline-heavy rivals can’t match.

Indian Institute of Management, Bangalore

Case Chasers is Disrupting:

Vakilsearch

Strategy

We’re building an AI-first, privacy-preserving legal co-pilot that automates compliance, contract, and advisory workflows for MSMEs, delivering faster, cheaper, and smarter legal support than human-driven incumbents.

KJ Somaiya Institute of Management

IIML Professionals is Disrupting:

Narayana Health

Strategy

AIkure makes healthcare proactive—using AI to keep you healthy before hospitals ever need to.

Indian Institute of Management, Lucknow

Cap Table Clowns is Disrupting:

TVS Motors

Strategy

An AI-designed, ferrite-magnet motor plus edge ML controller that removes rare-earth exposure and continuously optimizes performance for TVS’s EVs.

Masters' Union School of Business

Keynesian Kebabs is Disrupting:

MakeMyTrip

Strategy

To acquire 30% of premium travelers by stimulating smarter travel habits through AI-powered crowd optimization and amplifying local business participation to balance tourist experience with local harmony.

S.P. Jain Institute of Management and Research

IIMBlizzards is Disrupting:

Narayana Health

Strategy

Create an AI - powered mobile hybrid - OR platform that extends expert surgical care remotely, optimizing utilization and reducing costs to disrupt traditional hospital surgical models.

Indian Institute of Management, Bangalore

Voldemort is Disrupting:

Narayana Health

Strategy

Our strategy is to own the at-home recovery journey by using a predictive AI to transform the patient relationship from a one-time hospital transaction into a continuous, trust-based partnership that incumbents are structurally unable to replicate.

Indian Institute of Information Technology and Management

The Game Changers is Disrupting:

Narayana Health

Strategy

To reduce hospital dependency and make wellness a daily part of life, our approach makes use of small, AI-enabled, community-based Smart Clinics to offer continuous, preventive, and convenient healthcare.

IFMR Business School - Chennai, Tamil Nadu

Can-Can is Disrupting:

Dentsu

Strategy

Make performance analytics a client-owned superpower, rendering agencies obsolete for performance-based digital campaigns.

S.P. Jain Institute of Management and Research

XLerate is Disrupting:

CBRE

Strategy

We aim to evolve CBRE’s existing advisory model into an AI-enabled insights platform that enhances speed, accuracy, and client experience through continuous, real-time intelligence.

Xaviour Labour Relations Institute

Ignite is Disrupting:

Haldirams

Strategy

Disrupt Haldiram’s by creating a modern, health-focused, digitally native snack brand that offers clean, innovative Indian flavors through direct-to-consumer channels with strong sustainability and youth-oriented branding.

IFMR Business School - Chennai, Tamil Nadu

Cluster Busters is Disrupting:

Salesforce CRM

Strategy

Building an AI-driven “Customer Risk Engine” that quantifies shopper trustworthiness and plugs directly into Salesforce CRM systems.

Indian Institute of Management, Rohtak

Cognitix is Disrupting:

Coursera

Strategy

An AI-powered, consumption-based learning engine that auto-constructs optimal curricula for each learner, modularizes instruction dynamically, and monetizes by outcome rather than access.

Masters' Union School of Business

Ken-DO is Disrupting:

Narayana Health

Strategy

Paradigm shift from reactive to proactive healthcare using a data and AI centered approach

Indian Institute of Management, Indore

Team Interstellar is Disrupting:

Zerodha

Strategy

An AI-driven, conversational investing platform that lets retail investors trade, analyze, and optimize their portfolios effortlessly - combining natural language-based investing interactions, intelligent portfolio analytics, and access to HNI-grade assets like REITs and alternatives - all within a single integrated application.

Indian School of Business

Tech Disruptors is Disrupting:

LinkedIn

Strategy

Build an AI-agent-powered professional ecosystem that autonomously matches, interviews, assesses, and develops talent faster, smarter, and more engagingly than LinkedIn.

Indian Institute of Management, Ranchi

Quadra Consulting is Disrupting:

Zerodha

Strategy

In order to democratise investing, reduce CAC, and establish a scalable ecosystem driven by trust, disrupt Zerodha by developing a **AI-native, social investing platform** that provides explainable robo-advisory, micro-wealth products, and open APIs.

Indian Institute of Management, Calcutta

Blasters is Disrupting:

Zepto

Strategy

We densify certainty, not just stores turning messy addresses into a compounding logistics moat that makes every minute and meter predictable.

S.P. Jain Institute of Management and Research

MUGIWARA is Disrupting:

Zerodha

Strategy

An AI-driven investing platform that personalizes guidance, automates decisions, and empowers every investor to grow smarter, not just trade cheaper.

KREA University

Tri-Mendous Minds is Disrupting:

LinkedIn

Strategy

Turn professional networking from static and noisy to intelligent, verified, and deeply personal—powered entirely by AI.

IFMR Business School - Chennai, Tamil Nadu

Next of Ken is Disrupting:

HDFC Bank

Strategy

We aim to disrupt HDFC Bank by creating OutBank Finance, an AI-first, agent-based financial platform that continuously learns from user behavior to deliver real-time, personalized banking, lending, and investment experiences.

Indian School of Business

Three Body Problem is Disrupting:

Narayana Health

Strategy

Turn hospital waiting time into India’s next competitive advantage by making “zero-wait” the new standard of care.

Indian Institute of Management, Indore

Sky is Disrupting:

Naukri.com

Strategy

We turn job search into a hands-free agent that applies, chats with HR bots, verifies CV claims, and books interviews—paid only on outcomes

Indian Institute of Management, Ahmedabad

Doublethink is Disrupting:

Narayana Health

Strategy

The OYO model does not build hospitals - it partners with clinics to establish patient trust, standardize operations and improve quality, enabling rapid, AI-first asset-light expansion and capturing a large share of domestic and international medical tourists.

Narsee Monjee Institute of Management Studies

Invictus is Disrupting:

McKinsey

Strategy

Strategic AI is an intelligent consulting platform that delivers McKinsey-level strategic insights within hours—at just 1% of the cost—using real-time data, proven frameworks, and integrated AI-human collaboration through flexible subscription, workshop, and hybrid service models.

IFMR Business School - Chennai, Tamil Nadu

Emergency Exit is Disrupting:

UGRO Capital

Strategy

We are transforming collateral-free MSME lending into an AI-driven, milestone-based growth game, where entrepreneurs unlock capital and build credibility by achieving verified business goals.

Indian Institute of Management, Kozhikode

Disruptive Strategists is Disrupting:

Byju’s

Strategy

Blend AI with psychometric studies to offer greater learning experiences.

KJ Somaiya Institute of Management

The Disruptor is Disrupting:

Shaadi.com

Strategy

Deliver five high‑confidence, verified matches each week by combining hard essentials with an AI compatibility engine for lifestyle, values, goals, and everyday personality, layered with a parent‑aware, vernacular and voice‑first “family mode,” and enforced by a trust stack (eKYC, employment/education checks, liveness, optional background screening) that compresses time‑to‑meet, reduces noise, and aligns monetization to outcomes instead of volume.

Mesa School of Business, Bengaluru

Case Masters is Disrupting:

SBI

Strategy

Banking as easy as UPI: AI-powered, regionally-adaptive, mobile-first banking for all.

Xaviour Labour Relations Institute

Re-Invent is Disrupting:

Agarwal Packers and Movers (APML)

Strategy

We are replacing the anxiety and opacity of moving with absolute certainty by leveraging an AI-powered platform that offers transparent pricing, real-time item-level tracking, and a superior customer experience.

Mudra Institute of Communications, Ahmedabad

Dream Team is Disrupting:

Narayana Health

Strategy

We will disrupt Narayana Health by building an AI-powered personal health concierge that unifies and humanizes every step of the patient experience, making complex healthcare as simple as a conversation.

S.P. Jain Institute of Management and Research

NTP is Disrupting:

Uber

Strategy

Our solution transforms ride-hailing into ride intelligence, a transparent, AI-powered mobility network built to bring back what’s missing in today’s rides: rebuilding trust on every journey

Indian Institute of Management, Kozhikode

Panther is Disrupting:

Narayana Health

Strategy

Build an AI-first preventive health platform that keeps people aware of their health condition.

Indian Institute of Management, Shillong

SPoKEN is Disrupting:

SBI Life

Strategy

We disrupt SBI Life by launching EVOLVE, an AI-powered flexible insurance app for gig economy workers, gen-z’s and rural India, alongside DISTRIBUTORSHIP 2.0 which digitally transforms SBI Life’s vast agent network through AI-driven tools and targets customers through WhatsApp-based sales to boost productivity, efficiency, and rural reach; enabling us to create new markets while transforming traditional distribution channels.

S.P. Jain Institute of Management and Research

Magis is Disrupting:

Zerodha

Strategy

Transform Zerodha into an AI-powered, adaptive investing companion that blends personalized guidance, proactive risk management, intelligent market insights, and community-driven strategies—while keeping its transaction-based core and offering an optional Pro tier for advanced AI features.

Xaviour Labour Relations Institute

Shahrukh Khan is Disrupting:

CBRE

Strategy

We transform illiquid commercial buildings into continuously tradable, AI-priced, data-rich digital assets.

Masters' Union School of Business

Triple A Battery is Disrupting:

Netflix

Strategy

We’re replacing Netflix’s billion-dollar seasons with AI-powered microdramas which are crafted, tested, and released overnight.

Indian School of Business

GrowthAcers is Disrupting:

Hindustan Unilever

Strategy

We will use an AI-driven trend radar to detect micro-trends at pin-code level and rapidly launch tailored products for those niches before HUL can react.

Indian Institute of Management, Lucknow

The Visionar-I is Disrupting:

LIC

Strategy

We’ll build an AI-first insurer that helps underwrite policies in hours, turns messy legacy data into smart insights, and gives agents an AI co-pilot to sell smarter, not harder.

Indian Institute of Management, Indore

The Asset Avengers is Disrupting:

WheelsEye

Strategy

To disrupt WheelsEye by unleashing affordable AI-powered driver safety and fleet management through vernacular voice-first, low-cost sensor technology tailored for India's fragmented trucking sector.

Mesa School of Business, Bengaluru

MAPITALISTS is Disrupting:

Samsung

Strategy

We aim to make India the epicenter of smart manufacturing by launching the first AI-orchestrated “dark factory,” translating 25% lower costs and zero-defect precision into a strategic three-phase offensive that outprices, outtrusts, and outsells Samsung.

Masters' Union School of Business

RaviPA is Disrupting:

Housing.com

Strategy

Building India’s first AI-powered due diligence layer that turns property data into verified, transparent, decision-ready intelligence.

S.P. Jain Institute of Management and Research

Spark is Disrupting:

Byju’s

Strategy

We’re turning learning into a story-driven adventure through Sparky, an AI companion that transforms curiosity into a daily habit.

KJ Somaiya Institute of Management

Team HACK is Disrupting:

Emoha Eldercare

Strategy

Disrupt Emoha by delivering a proactive, AI-powered eldercare experience that is simpler, more personalized, and more scalable.

S.P. Jain Institute of Management and Research

Marqos is Disrupting:

Sun Pharma

Strategy

Transforming drug delivery for chronic diseases by using AI-guided formulation design and rapid simulation to achieve personalized treatment insights that bypass big pharma's slow, mass-production model.

Great Lakes Institute of Management

productKnightsKen is Disrupting:

Narayana Health

Strategy

We will deploy a proactive AI-powered insurance agent into competitor hospitals, transforming the confusing claims process into a transparent, predictable financial experience by fully automated pre-auth and claim streamlining.

Indian School of Business

AltCorp is Disrupting:

Drools Pet Food

Strategy

PetVeda will disrupt Drools by transforming pet supplements from generic, mass-market nutritional add-ons into AI-powered, personalized health solutions delivered through direct-to-consumer subscriptions targeting premium pet parents.

Altera Institute

Solutionist is Disrupting:

Zerodha

Strategy

Our strategy utilizes the Account Aggregator framework to create a Universal Customer View, integrating fragmented financial data into the automated "money box" system to deliver a seamless, hands-free money life

Nirma University

Team AVA is Disrupting:

Narayana Health

Strategy

Change healthcare accessibility to India’s population by integrating AI-enhanced and staff enabled health kiosks in established and trusted community access points allowing seamless and proactive preventive care connected to the Narayana Health system.

Indian Institute of Management, Kashipur

Ordinary is Disrupting:

Swiggy

Strategy

Build a hyperlocal, community-driven delivery network using AI and fair partner incentives to offer faster, cheaper, and more reliable service than Swiggy.

IFMR Business School - Chennai, Tamil Nadu

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