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MIT_AI_Venture_Studio_Fall_2024_Slides_Dec_5th_2024.pptx
- 1. AI Venture Studio Fall2024 Final Pitches Demo Day - Dec 5, 2024 https://aiforimpact.github.io/ Live: tiny.cc/demodemo
- 2. Time Schedule 10:05 am-11:55am Student Team Presentations 12 noon-1:00 pm Showcase + Networking MIT AI Venture Studio Demo Day Schedule
- 3. 3 Ramesh Raskar MIT Professor ●Camera Culture Research Group Director ● Focus is AI and Imaging for health and sustainability. ● He received the Lemelson Award (2016), ACM SIGGRAPH Achievement Award (2017), DARPA Young Faculty Award (2009), Alfred P. Sloan Research Fellowship (2009), TR100 Award from MIT Technology Review (2004) Faculty Instructors 3 Pulkit Agrawal MIT CSAIL Professor ● Assistant Professor of Electrical Engineering and Computer Science at MIT ● Improbable AI Lab Director ● Focus is: Computational sensorimotor learning ● He received the Best Paper award at CoRL (2021), Amazon Research Award in Robotics (2020), Amazon MAchine Learning Research Award (2019), Salesforce Research Deep Learning Grant (2019) Sertac Karaman MIT LIDS Professor ● Professor Aero Astro ● Head of LIDS ● Focus is: Robotics and Control Theory ● Founder of Optimus Ride (sold to Magna) ● Amazon faculty award, ONR ● NSF career award
- 4. John Werner MIT /Link Venturers Leaders David Blundin Link Ventures / Cogo ● Serial entrepreneur and Founder of Link Ventures, Vestigo Ventures and Link’s venture studio: Cogo Labs ● Founder & CEO of ‘unicorns’ DataSage, Vestmark ● Co-founder and Chairman of 23 companies including IPO Everquote (EVER) ● Computer Science degree from MIT, researched neural network technology at the AI Lab and founded one of the first neural network companies. Beth Porter Krach Institute/C10Labs Sandy Pentland MIT Media Lab ● Founder and leader of multiple EdTech startups and intrapreneurial ventures ● Professor of IT at Boston University Questrom Business School ● NSF/SBIR Awardee ● Director of Connection Science at MIT ● One of the most-cited computational scientists in the world ● Board member of the UN Foundation's' Global Partnership for Sustainable Development Data ● Co-Leader of the World Economic Forum discussion in Davos that led to the EU privacy regulation GDPR ● Founder of Ideas in Action, Inc (IIA) ● Managing Director at Link Ventures ● One of Boston Globe’s top 50 Tech Power Player, 2024
- 5. Hossein Rahnama MIT MediaLab / Flybits Leaders Santanu Bhattacharya MIT Media Lab ● Led multi-billion-dollar digital businesses as Chief Technologist at NatWest and Chief Data Scientist at Airtel (400M users). ● Former leader of Facebook’s emerging markets ($2B revenue) and AOL’s global data products ($1B revenue). ● Founder of two startups and part of Delhivery’s unicorn journey to IPO. ● Ph.D. from NASA/UMD, alumnus of MIT and IIT-Bombay, and WEF Davos 2020 speaker. John Harthorne Two Lanterns ● Founder of Two Lanterns Venture Capital ● Recognized among Boston’s 50 Most Powerful People. ● MBA from MIT Sloan; advisor and mentor in global innovation. ● Expert in scaling startup ecosystems and ventures. ● Canadian computer scientist specializing in AI, human-computer interaction, and context-aware computing. ● Founder and CEO of Flybits, a leader in context-as-a-service technology. ● Recognized by MIT Technology Review (Innovators Under 35) and Smithsonian (Top 6 Innovators to Watch). ● Visiting scholar at MIT Media Lab; Associate Professor at Toronto Metropolitan University.
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- 8. Mentors and Speakers ScottMackie, IndigoAg
- 9. Academic Research Hackathons Contests Curiosity + Community Impact Team Problem BizPlan/Solution Innovator ≠Entrepreneur Startup Incubator Non-profit CorpVenture
- 10. SPOT Problems 4 Classes PROBE Solutions 4 Classes GROW Adoption LAUNCH Deploy Venture Studio Class Academic Research Hackathons Contests Curiosity+ Community Impact Startup Incubator Non-profit CorpVenture PRE-REQs -160+ Applications -Course on Blockchain, and AI
- 11. AI Venture Studio- Demo Day Judges 2024 JJadyn Bryden | Early-stage investor at X Fund Richard Dulude | Underscore VC David Blundin | Founder and Chairman/CEO of venture-incubator Cogo Labs Eric Chen | Partner of OVO Fund and Special Limited Partner of Equilibrium Real Estate Investment Ali Mehmood | Glasswing Ventures AI Focused Early Stage Fund Giuseppe Stuto| 186 Ventures
- 12. AI Venture Studio- Demo Day Judges 2024 Cavin Mozarmi I Remus Capital Imran Sayeed | Entrepreneurship and Innovation faculty at the MIT Sloan School of Management Hesam Motlagh | Chief of Staff at Khosla Ventures | Adjunct Professor at Stanford Milo Werner I The Engine General Partner John Hawthorne I Two Lantern VC Mary Beth Green I Chief Innovation Officer, Sheetz
- 13. AI Venture Studio- Demo Day Judges 2024 Sridhar Rao | Venture Partner at Union labs Dr. Rana El Kaoiluby | AI Entrepreneur, CO-CEO SmartEye Stephen Marcus I Managing Director, RIOT Ventures Andrew Beebe | Obvious Ventures Raza Shiekh |Launchpad Venture Group Beth Porter I Co-Founder CEO ESME Learning,
- 14. AI Venture Studio- Demo Day Judges 2024 Davey Bakhshi| FORTEFAi Alex Pentland | Media Lab, MIT Geoff OblakI Managing Partner Data Point Capital Jorge Cortell| Senior Advisor, Harvard i-Lab David Zug | Investor, Harborvest Group Kahini Shah I Investor, Obvious Ventures
- 15. John Sharp MD| Harvard Medical Physician / Educator / Author Rick Mehra I X Prize Foundation Rob Fischer | Cogo Labs Terry V. Eagan MDI Eagan Medical Center Narendra Kale I Kale Logistics Asanka Pathiraja I Investor in AI Mark Castleman | Intel Ignite Investor / Incubator Otkrist Gupts PhD ( AI ) I VP Eng LendBuzz AI Venture Studio - Demo Day Judges 2024
- 16. Empowering teams togiga scale impact. MAS.665
- 18. Thank you The teamsand instructors are deeply grateful to the supporters, mentors, investors, speakers, and advisors for their time, unwavering dedication, and invaluable contributions and insight throughout the semester.
- 19. You are invitedto evaluate the student teams for the AI Venture Studio course on Impact, Uniqueness, Completeness on a scale of 0 to 5, with 0 being the lowest score, and 5 being the highest score. Please also add the total (0-15) and add any comments and/or suggestions in the Comments section. The categories of scoring relate to the following: Unique: Differentiation and AI-first approach for presented market and/or solution Demo: Includes demo that shows future impact on a meaningful societal sector Complete: Covers market competitors, and short (Phase1) and long (Phase3) term plans Given the early stage explorations, the teams are NOT expected to discuss market size or quantitative business plan. Teams have been asked to keep problem statements to 30 seconds. Judge’s Scoring Sheet
- 20. AI Venture Studio Fall2024 Final Pitches Demo Day - December 5, 2024 https://aiforimpact.github.io/ Live: tiny.cc/demodemo
- 21. Fall 2024 Teams ZAcademy FixAI FixAI is an AI-powered diagnostic tool that helps users troubleshoot non-functioning appliances myLantern EcoVolt Better Off This Way LearnBridge SkillLink Pancho Wise AI hAIp otomo Health Passport MyGrad.AI augur Forest Quant Incepta Private Intel FiestaPro GeoNarrative Muddy Wood Gradmatch Moccet Tapestry AIWeb AI companions that transform self-reflection into emotional growth, resilience, and meaningful social connections. AI for energy management for decarbonization AI-powered, privacy-wall-protected agents that uncover opportunities tailored to your interests and schedule AI marketing platform to find right influencers, generate content and post it within influencers’ profiles in 3 clicks Personalized AI driven English tutor, Democratizing English Education Uncomplicating divorce: AI-powered step-by-step guidance to ease stress, lower legal fees, and deliver smoother outcomes. AI-Powered Marketplace Connecting SMB Restaurants and Distributors Decentralised skills verification and AI job matching for high skilled tech workers Empowering elderly care facilities with AI insights to enhance care quality, reduce resident turnover, and boost revenue. Real-time speech AI for navigating patient and optimizing operating room utilization Health Passport is an AI tool centralizing records, translating data, enhancing care, and monitoring hospital performance. AI assistant for optimizing complicated healthcare regulatory challenges like certification of needs AI platform that streamlines technology commercialization and innovation connecting technology transfer offices with entrepreneurs. The AI-powered TurboTax for graduate applications. An ML-powered platform offering credit ratings and insured credits to help SMEs make risk-free sustainability decisions. Revolutionizing Corporate Event Planning with AI AI-driven graduate program and mentor matchmaking platform AI powered RAG to help drive insights for PE firms AI solution for youth wellbeing An Generative AI tool converting text into narrative visualizations. AI project completion platform connecting businesses to Harvard/MIT talent AI-powered user engagement and crowd management in high-density spaces AI powered website.
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- 23. Catch it Fast,Fix it Right
- 26. Deployed Fix AIand found that it was a complex issue Empowered to name the problem Next Steps: This could be be caused by a broken or damaged pipe, which would require professional assistance to resolve.
- 27. 👤 Connect toa profession > Deployed Fix AI and found that it was a complex issue Empowered to name the problem Connected to trusted professional Saved a lot of time & money!
- 28.
- 30. HOW DO IFIX MY…
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- 32. Consumer Electronics Major Retailers Warranty Providers INDUSTRYSCOPE - US Market $987 B $ 5.1B $ 130 B
- 33. Consumer Electronics Major Retailers Warranty Providers INDUSTRYSCOPE - US Market $987 B $ 5.1B $ 130 B
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- 35. •Collaborate with toolmanufacturers and suppliers Partner with Insurance companies for warranty screening •Premium access to modules • Sponsored content from tool brands and hardware stores BUSINESS MODEL SUBSCRIPTION REFERRALS PARTNERSHIPS •Experts subscribe to be on platform •screened + certified experts •Connect with DIY communities, media •Offer basic tutorials and features are free •Premium access to experts
- 36. Sophia Cabral AI Scientist HarvardGSD MEET THE TEAM Paul Backer Advisor Schola C. Eburuoh Project Management Harvard GSD Baffour Appiah-Korang Business Development MIT Sloan Fellow Vandit Gandotra Business Strategy HBS MBA Roman Cepeda Advisor Shantanu Bhattacharya
- 37. https://www.fixai.tech/ JOIN THE REPAIRREVOLUTION
- 38. https://www.fixai.tech/ JOIN THE REPAIRREVOLUTION
- 39. Z Academy creating productswith warmth and care
- 40. Team Chenyu Zhang Harvard GS Education Uof Toronto, CS, AI 10 yoe coding 3 yoe teaching CS Wanyan Yuan Harvard T.H. Chan School of Public Health Dr. Tom Thorsheim Psychologist 20 yoe
- 41. “We do notrealise how negative and critical we are being of ourselves, and as a result we continue to cement negative ideas in our minds, and so the cycle continues." - By Megan Hosking, psychiatric intake clinician at Akeso Specialised Psychiatric Clinics life. (2016). 70% of girls feel they’re “not good enough.” Life. https://www.news24.com/life/70-of- girls-feel-theyre-not-good-enough-20160629
- 42. According to theNational Science Foundation, an average person has about 12,000 to 60,000 thoughts per day. Of those, 80% are negative and 95% are repetitive thoughts. - attributed to the National Science Foundation in 2005 Jennings, J. M. (2022, March 29). How Many Thoughts Do We Have A Day? John M Jennings. https://johnmjennings.com/how-many-thoughts-do-we-have-a-day/?utm_source=chatgpt.com Team, N. (2021, September 9). New Study: You Have 6,200 Thoughts a Day... Don’t Make Yours Negative. NeuroGym Blog. https://blog.myneurogym.com/new-study-you-have-6900-thoughts-a-day-dont-make-yours-negative/
- 43. “Research shows thatwe should respond instead with self-compassion. ” Chen, S. (2018). Give Yourself a Break: The Power of Self-Compassion. Harvard Business Review. https://hbr.org/2018/09/give-yourself-a-break-the-power-of-self-compassion
- 44. Wedge: The FirstAgentic Journaling Companion That Builds Self-compassion and Emotional Connection—With Yourself and Others
- 45. Introducing … SPARK Journaling ✨ Self-compassion,Pro-social behavior, Awareness, Reflection, and Kindness
- 46. Step 2: AICo-Edit ● Privacy-Focused Collaboration ● Proactive AI Assistance ● Social Integration ● Real-Time Suggestions ● Multi-Layered Feedback Step 1: Journal ● Seamless Typing Support ● Handwriting and OCR Integration ● Advanced Speech-to-Text Capabilities. ● Multi-Lingual Support SPARK Journaling ✨
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- 48. Step 2: AICo-Edit (like Google Doc + AI Cursor)
- 49.
- 50. Be the SPARK youwant to see in the world. ✨
- 51. Our website islive! 🌟 Visit z.academy and scan the QR code to join the beta!
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- 65. myLantern Unlock a WorldTailored to Your Interests
- 66.
- 67. Content Curation US Market $20Billion Ad Blocking US Market $650 M 1B users User-Owned Advertising US Market $250 Billion
- 68. Secure federated AI Personalized agentsscour for you Irrelevant ads become curated for your interests
- 70. Shelly Natalia (CFO) Finance, Biz-Dev, Strategy MITSloan Fellow Our Team Bernardo Garcia (CTO) Technology, Statistics, Data MIT PHD IDSS Shiv Mahajan (CEO) Operations, Strategy, GTM, Data MIT Sloan Fellow Douglas Sutcliffe (COO) Product, Consumer Data, Privacy MIT Sloan Fellow Yiting Zhang (CPO) Design, Urban Studies, AI Product Harvard GSD Mentor: Chris Pease Rishab Gupta (CGO) Tech, Growth hacking, product Harvard GSE
- 71. Unlock a WorldTailored to Your Interests https://mylantern.app Join Our Waitlist!
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- 73. The Problem Expensive Ineffective StressfulLimited Access
- 74. LearnBridge: Solution 1 PersonalizedLearning 2 Interactive Feedback 3 Gamified Experience
- 75. Our Target: TheTOEFL Test 1 Initial Assessment 2 Personalized Learning Path 3 Progress Tracking 4 Test Simulation
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- 77. Competitive Landscape &Advantage High AI-powered Personalization Teaches you how to write Doesn't teach you how to write Low AI-powered Personalization Accessibility Affordable and accessible Limited free content Free version with limited features Expensive Feature/Company LearnBridge Duolingo Grammarly IELTS Prep Tools Personalization Highly Personalized Limited None Minimal Holistic Approach Yes No No No LearnBridge
- 78. Market Size &Wedge TAM TAM - $24.8 Billion (expected to reach $70.7B by 2030) English Language Learning Market Size in 2023 SAM - $2.24 Billion (expected to reach $4.6B by 2030) English Proficiency Test Market SOM - $ 0.75 Billion English Proficiency Test Market in India, Syria and Jordan SAM SOM
- 79. Go-to-Market Strategy Target Audience Universitiesand language centers Pricing $15 Affordable monthly subscription Distribution Direct partnerships with educational institutions and students.
- 80. Our Progress SoFar Customer Engagement Highlights Conducted 15 customer interviews with exam test-takers and gained key insights. "AI trained on IELTS examiners' feedback criteria would be incredibly helpful—any AI that understands how results are evaluated and explains why the essay works or doesn't would make a big difference." – Chanchal, 21 VC Interest & Feedback Engaged with 10 VCs specializing in EdTech. "An AI tutor could be incredibly effective in providing personalized writing feedback, especially if it goes beyond standard corrections and explains the 'why' behind mistakes. This approach bridges the gap between error correction and genuine understanding." – Professor Raj Simhan, MIT Media Lab Product Milestones Built and tested prototype with early adopters. Scaling Forward Expand to 50 TOEFL test takers to refine MVP
- 81. Meet the Team Transformingeducation with the knowledge of Harvard and MIT to empower learners. Sara Mraish- Demeter Founder @ARCKBoston | MPA Candidate @Harvard Pantea Karimi CS PhD Candidate @MIT Sudarsanan Rajasekaran CS PhD Candidate @MIT Xinyang Zhang Designer | Ed.M Candidate @Harvard Siddharth Gulati Co-Founder @PeaceX | MPP Candidate @Harvard Ziqin Xie Educator | Ed.M Candidate @Harvard
- 82. Mentor/Advisors Taleb Alashkar Mentor CTO &Co-Founder @AlgoFace | PhD, AI, MIT Christopher Price Advisor CoS & Interim COO @Australian National University Rahaf Consultant Certified Arabic/English Translator & TOEFL Educator Joseph Atié Consultant MIT EECS + MBA Candidate
- 83. Call to Action PilotProgram 50 TOEFL test takers Transform English Education Join us in making a difference Global Success One learner at a time
- 91. Team Orkhan (OJ) JavadliAnni Zimina 8 years platform building, tech, media, and AI 15 years in marketing, strategy and digital transformation CEO CTO
- 92. 35 Businesses in Cambridgeand Palo Alto have already committed to beta version 400 Connected businesses are the goal for the 1st operational year
- 94. Better Off ThisWay Divorce still sucks— but now, 1000x less
- 95. Have you ever reachedthe point where a relationship no longer felt right?
- 96. Multiply whatever you felt10x to have a glimpse on how divorce feels like.
- 97. djust to movingbetween two homes. Uncertain Parenting Arrangements: I’m stressed about how we’ll anage co-parenting. I’m scared that I won’t get enough time with my kids or that their routine will be srupted. Dividing Assets: We’ve accumulated a lot together, from our home to shared savings. Deciding ho gets what feels overwhelming. Emotional Turmoil: I feel a constant cycle of guilt, anger, and sadness. ocial Pressure: I feel embarrassed to tell friends and family. I’m tired of the pity and unsolicited advice, an ate that people see me as “the divorced one.” There’s a stigma that feels isolating. Legal Complexity: The gal system is confusing and intimidating. I feel overwhelmed by the paperwork, deadlines, and decisions. ar of Change: Starting over feels daunting. I haven’t been alone for years, and I worry about how to rebu y social life or even think about dating. Loss of Identity: For so long, my identity has been tied to being a fe and partner. I worry about who I am without him, what I want for myself, and how to rediscover my ow assions and goals. Unresolved Financial Disputes: Six months in, I’ve realized we didn’t address all the nancial details. Some of our agreed-upon asset transfers, like the car and a few shared investments, still aven’t been finalized. Alimony Issues: My ex has stopped making the agreed-upon alimony payments. I dn’t want to involve a lawyer again, but I feel like I have no other choice if he won’t respect our agreemen hild Support Adjustments: My ex’s job situation changed, and he’s now requesting a lower child support ayment. Unmet Divorce Agreement Terms: I’ve realized some terms in our divorce agreement are vague nd open to interpretation. This has led to disagreements about things like medical expenses and school fe r the kids. I need a lawyer to clarify and, if necessary, modify the agreement to avoid these recurring nflicts. Issues with Parenting Plan: Our initial parenting arrangement seemed fair, but it’s not working we practice. Mental Exhaustion and Closure: Six months later, I’m still dealing with the emotional toll of the
- 98. djust to movingbetween two homes. Uncertain Parenting Arrangements: I’m stressed about how we’ll anage co-parenting. I’m scared that I won’t get enough time with my kids or that their routine will be srupted. Dividing Assets: We’ve accumulated a lot together, from our home to shared savings. Deciding ho gets what feels overwhelming. Emotional Turmoil: I feel a constant cycle of guilt, anger, and sadness. ocial Pressure: I feel embarrassed to tell friends and family. I’m tired of the pity and unsolicited advice, an ate that people see me as “the divorced one.” There’s a stigma that feels isolating. Legal Complexity: The gal system is confusing and intimidating. I feel overwhelmed by the paperwork, deadlines, and decisions. ar of Change: Starting over feels daunting. I haven’t been alone for years, and I worry about how to rebu y social life or even think about dating. Loss of Identity: For so long, my identity has been tied to being a fe and partner. I worry about who I am without him, what I want for myself, and how to rediscover my ow assions and goals. Unresolved Financial Disputes: Six months in, I’ve realized we didn’t address all the nancial details. Some of our agreed-upon asset transfers, like the car and a few shared investments, still aven’t been finalized. Alimony Issues: My ex has stopped making the agreed-upon alimony payments. I dn’t want to involve a lawyer again, but I feel like I have no other choice if he won’t respect our agreemen hild Support Adjustments: My ex’s job situation changed, and he’s now requesting a lower child support ayment. Unmet Divorce Agreement Terms: I’ve realized some terms in our divorce agreement are vague nd open to interpretation. This has led to disagreements about things like medical expenses and school fe r the kids. I need a lawyer to clarify and, if necessary, modify the agreement to avoid these recurring nflicts. Issues with Parenting Plan: Our initial parenting arrangement seemed fair, but it’s not working we practice. Mental Exhaustion and Closure: Six months later, I’m still dealing with the emotional toll of the Divorce is life’s second most stressful event, surpassed only by the death of a spouse. Dartmouth study
- 99. Meet Div, Your AIDivorce Planner
- 100. Divorce still sucks— butnow, it sucks 1000x less
- 101. - Div, whatother documents does my spouse still need to send you? 🙄 ✅Single source of truth ✅Collaborate with spouse ✅Div drafts your legal forms / agreements ✅Track progress
- 102. Your secret weapon tooutsmarting your ex — and your lawyer 😉 ✅Scenario-based alimony calculation ✅Assets in style ✅Budget your future ✅Lawyer-speak, translated
- 103. Div is whoeveryou need them to be… yes, even your ex 👀 AI won’t judge ♀️ ️ ♀️ ♀️ ♀️ ♀️ ♀️ ♀️ ♀️ ♀️ ♀️ ♀️ ♀️ ♀️ ♀️
- 104. — Div, let’srole- play my ex and sort out who gets the 🐶
- 106. AI Companion willeat the world 🤯 Don’t believe me, ask A16Z
- 107. 💔623k divorces 300k co-parentingagreements 💵$130b+ family law market 🤖$100b+ AI companionship market Divorce alone is a $50b+ market
- 108. We're defining andowning an entirely new category AI companionship Character AI ($1b valuation) Replika DivorceTech Divorce.com (PE-owned, profitable) Hello Divorce (profitable) LegalTech LegalZoom ($1.4b cap) Rocket Lawyer ($280M funding) ✅ AI-First Divorce Expert ✅E2E: Legal, Financial, and Emotional ✅Cheaper, Faster, Better Service
- 109. bit.ly/betteroffthisway When your ‘Ido’ becomes ‘I don’t,’ give us a call❤️
- 110. FIXING MARGINS FORRESTAURANTS & DISTRIBUTORS
- 111. SMB RESTAURANTS &DISTRIBUTORS GENERATE $400+ BILLION IN REVENUE & HAVE A $60+ BILLION LEAKAGE PROBLEM
- 112. We lived thisproblem firsthand. OUR TEAM FOUNDED 16 restaurants & 2 FOOD TECH COMPANIES.
- 113. • Technology gap& Laggard adoption • Low access to price transparency • Little buying power • RISING & FLUCTUATING costs = Restaurants Distributors LEAKAGE PROBLEMS HAVE CLEAR CAUSES AND HAVE BROKEN THE RELATIONSHIP BETWEEN RESTAURANTS & DISTRIBUTORS • MANUAL ORDER PROCESSING ERRORS • LOST SALES • HIGH Order Retuns • refunds = 14% GROSS margin loss
- 114. OUR SOLUTION - AIPOWERED MARKETPLACE - Streamlines supply chain - TRANSFORMs HOW THE INDUSTRY CONNECTS, NEGOTIATES & TRANSACTS
- 115. FOR RESTAURANTS INCREASE MARGINS| LESS EFFORT| BEST PRICES ORDER AUTOMATION ON DEMAND FUNCTIONALITY ELIMINATES MANUAL EFFORT DEMAND AGGREGATION ORDER POOLING DIRECT NEGOTIATION SIMPLE MARGIN MANAGEMENT ACCESSIBLE ANALYTICS PROFIT OPTIMIZATION
- 116. FOR DISTRIBUTORS AUTOMATED orderprocessing |FEWER RETURNS | MORE SALES REDUCED RETURNS AUTOMATED PROCESSING ACCURATE & AUDITABLE ORDER MANAGEMENT PUTS SALES TEAMS BACK IN THE FIELD OPTIMIZES INVENTORY PREDICTS SHORT TERM PRICES TRACKS DEMAND
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- 120. FIXING MARGINS FEWER LOSSES MOREPROFITS BETTER RELATIONSHIPS ContacT kikev15@mit.edu or pabloms@mit.edu
- 132. Confidential Copyright © 147 Empoweringelderly care facilities with AI insights to enhance care quality, reduce resident churn, and boost revenue. ise AI Incubated at
- 133. Confidential Copyright © Thereare more than 16,700 elderly care facilities in the US Elderly caregiving is a $1.9 trillionindustry
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- 135. Confidential Copyright © 774facilities have closed down in the last 4 years and 66% owners are concerned. Elderly care facilities in the US encountered a net loss of $2.6 billion in 2022 Staffing shortage leading to care gaps. On average, 1 caregiver takes care of 15-20 individuals during one shift. The Context
- 136. High resident churn Dueto preventable hospitalizations and dissatisfaction with care quality The Problem 46.8%
- 137.
- 138. Confidential Copyright © Caregiverssee most important action items, increasing efficiency and care quality Wise AI provides insights on seniors at risk of churn Facilities plug in Wise AI - no new hardware required Facilities benefit from less move- outs and more revenue We empower senior caregiving facilities with real-time AI insights to focus on what matters most. The Solution
- 139. 154 Confidential Copyright © Multimodal(video and audio) sensors monitors and identifies residents at risk of churn via: Fall prediction and detection Sentiment analysis Activity tracking ● Hydration ● Bathroom visits (UTI) ● Sleep Quality ● Mobility The Solution
- 140. 155 Confidential Copyright © ...andprovide actionable care recommendations for every resident
- 141. 156 Confidential Copyright © LowerAvoidable Churn, Higher Occupancy, and More Revenue
- 142. Confidential Copyright © NewHardware Multimodal AI (Audio + EHR only) (Video + EHR only) (Audio + video + EHR) We’re the first multimodal AI and wearable-free tool to focus on reducing resident churn due to preventable hospitalizations and dissatisfaction. Current solutions in the market are fragmented, focusing either on audio or video insights and requiring costly additional hardware investments. Competitive Landscape
- 143. Confidential Copyright © Annanya Panagala Irene Koo Mateusz Firlej Prakrit Baruah Adam Zhang OurTeam Bijyeta Maharjan Benjamin Saenz AI Fellow at Accenture Winner of NextGen LLM Challenge at HackMIT Computer Engineering at UMD Computational Astrophysics at Gemstone AmazonNext Scholar
- 144. Confidential Copyright © Traction Co-designing& testing with long-term care facilities ○ 2 private memcare facilities in Texas ○ 1 long-term care facility chain; 1000+ residents across India
- 145. Confidential Copyright © Helpfacilities provide proactive care and reduce resident churn risk Short-term Goal Long-term Goal All-in-one care operations and management ● Enabling hospitalization-related cost savings for both insurers and families and insurers ● Generating data for research and public health ● Scaling our brand globally. Help facilities provide proactive care and reduce resident churn risk ● Expand suite of care recommendations ● Improve accuracy of AI models ● Compliance & reporting automations ● HIPAA
- 146. Confidential Copyright © Ourpopulation is rapidly aging 70% of older adults in the US will need long- term care. 800,000 elderly are currently on waiting lists. Join Us - help us transform elderly care in facilities
- 147. Real-time speech AIfor patient navigation and OR utilization
- 148. Mike Sanchez KiyoTakanishi Kevin Yang, MD We have extensive expertise in developing AI solutions, selling to healthcare systems, and collaborating with healthcare practitioners Mark Zackery Lily Kwak Technical Lead Sales Lead Medical Lead Strategy Lead Product Lead
- 149. >10% Procedures are postponedor canceled because of no-shows or undesirable preparation >$1.3B Unearned revenue due to no-shows and cancellations Endoscopy practices face high no-show and cancellation rates due to insufficient resources for personalized patient support >2Months Average wait time for non- urgent colonoscopy
- 150. Our solution navigatespatients with multilingual real-time conversational AI and optimizes OR utilization with analytics Active Engagements Enhance patient engagement through timely interactions and streamline communication Patient Navigation Provide continuous 24/7 support to patients by answering medical queries and offering companionship Utilize predictive analytics to: • identify patients at risk of no-shows • enabling targeted outreach and adjustments to communication strategies • enhance patient preparation and attendance Behavior Analysis Efficiently fill last-minute cancellations by identifying and proactively engaging patients who are better prepared and more likely to show up Adaptive Scheduling Text Agents Voice Agents
- 151. Technological and marketchanges fuel our opportunities, and we’ll leverage our knowledge of customer needs to win Advent of real-time speech AI Consolidation of group practices Own the use case from end-to-end Unlock full potential of voice biomarkers Voice Agents Now is the time – We will win – Increasing AI trust and adoption e.g., Frailty and cognitive impairment detection, emotional adaptation
- 153. Starting with colonoscopies,we will expand to fast-turnaround surgeries and eventually to geriatric care use cases Colonoscopies, upper GI endoscopies Fast-turnaround, standardized surgeries $500M Regional hospitals and ambulatory surgery centers $5 B $15 B Geriatric care $250 B Hemorrhoidectomy, Vasectomy, TURP, Hysteroscopy, Cataract Group practices, private clinics Enterprise contracts Chemoradiation therapy, Physical rehabilitation, Cognitive and mental health, Disease detection and biomarkers
- 154. Pilot Studies Secured 3 Wesecured three pilot programs with leading U.S. hospitals and early traction, validating our vision and the impact
- 155. $2.5 M SAFEs 18months of runway Learning from standardized use cases, we build a trusted product for the geriatric market, establishing the leading voice repository Connections Group GI practices, ASCs/hospitals, Healthcare PE firms
- 157. December 5th, 2024 HealthPassport Your Health, Your Story, Anywhere in the World.
- 158. Value-Based Healthcare (VBHC) 6 outof 6 countries in the Gulf are adopting VBHC into their healthcare Government Mandates All hospitals in states including UAE, Saudi & Qatar required to track patient-reported outcomes. Expat Population 59M+ expats need interoperable health records. CONTEXT – HEALTHCARE IN THE GULF 1 2 3
- 159. Expat scattered records PROBLEM Doctors lackvisibility over full patient histories Providers struggle to implement value based healthcare 1 2 3
- 160. SOLUTION • PROMs DatabaseCompliant with Government Mandates for VBHC • Give Access to Doctors • INPUT: Upload Health Data and Medical Record in Origin Format • ACTION: Merge Records and Translate to Destination Format 1 2 4 5 • OUTPUT: Download Medical Record in Destination Format 3
- 161. Health Passport Your Health, Your Story, Anywherein the World.
- 162. WHO WE ARE Weare a multidisciplinary team with extensive years of experience 06+ years in management consulting 09+ years in AI applications 15+ years in the Middle East 12+ years in healthcare Alyssa Yu Alexei Peters Bashar Abu Ein Muhammad Jawad Noon Farah Rohayem
- 163. Join Us inMaking Your Healthcare Global What We Need Funding and partnerships to launch Health Passport. Why Join Us Ride the wave of government-backed digital health evolution in the Gulf region
- 186. Incepta Connecting Entrepreneurs toCutting-Edge Technology, Research, and Funding Opportunities
- 187. The Problem (Macro) Fragmentedfounder ecosystem • Difficulty in matching researchers, technologies, and entrepreneurs to form viable startup ideas. • Inefficiencies in identifying and leveraging available resources and funding opportunities. Utilization of technology • A wealth of licensable, cutting-edge technologies developed by universities and federal agencies remains unused. • Most patented technologies remain unlicensed, ranging from 95% to 97% of patents failing to be licensed or commercialized. Over $1B USD in misallocated capital • The US government annually earmarks billions of dollars for small businesses via SBIR/STTR grants to foster innovation. • However, our survival analysis indicates that much of this funding does not achieve its intended impact.
- 188. The Problem (Micro) •About 90% of startups will fail. • The number one reason startups fail is misreading market demand—this occurs in 42% of cases. • Lack of funding and personal money is the second- leading cause of startup failure (29% of cases). • 82% of businesses that went under in 2023 did so because of cash flow problems. CBINSIGHTS
- 189. Meet Incepta Incepta providesa unique AI-driven platform that connects technology transfer intellectual property with federal grant funding, researchers, and founders. This platform simplifies the startup ideation process into a one- page format, making it easier for student founders and first-time entrepreneurs to access resources and support.
- 191. First Month Traction Users •Over 100 users in first month • 3 Universities opted in • Working on first tech licensing deal Tech Transfer Offices WTP • Willing to pay per deal converted • Standard Deal: $5-20k flat fee, 2-8% equity, 2-8% royalty Partnership • Formed first paying customer partnership - MassChallenge • 500 users annually
- 192. The Team Nick Maynes Co-Founderand CEO Education: West Point, Berkeley, Harvard Experience: U.S. Army, Accenture, Bain Feroze Mohideen Co-Founder and CTO Education: Duke, Harvard Experience: Amazon, Ironclad, Porter
- 193.
- 194.
- 195. Technology Transfer MarketSize $5.88B TAM (2018 Global Licensing Revenue) $2.94B SAM (2018 U.S. Licensing Revenue) $294M SOM (1% Penetration) *This market size does not account for equity or flat fee portion of the deal structure *Association of University Technology Managers STATT: Statistics Access for Technology Transfer Database
- 207. Revolutionizing Corporate Event Planning withAI fiestapr o
- 208. Planning a corporateevent takes 150 hours. over four months. We are here to help.
- 209. Breakdown of EventPlanning Hours MANUAL PROCESS 60 EVERYTHING ELSE 35 VENDOR COORDINATION 25 VENUE SELECTION & BOOKING 20 EVENT LOGISTICS 10 ATTENDEE MANAGEMENT WITH FIESTAPRO MVP 60 TIME SAVED 50 EVERYTHING ELSE 20 10 ATTENDEE MANAGEMENT 3 2 Our MVP product saves 60 hours and $2000 per event EVENT LOGISTICS VENUE SELECTION & BOOKING VENDOR COORDINATION
- 210. Unlock the Powerof FiestaPro VENUE AND VENDOR COORDINATION Streamline the planning process with an AI-agent that selects and communicates with venues and vendors to handle inquiries and preliminary negotiations, make recommendations and secure bookings. CAPTURING DATA FOR EVENT OPTIMIZATION The agent collects and analyzes data from the event spaces, and client data on feedback, attendance data, and engagement metrics. FiestaPro learns from each event, using insights to help organizers create better experiences. SEAMLESS STAKEHOLDER COLLABORATION The AI agent acts as a central hub, facilitating communication between all parties involved. It sends timely updates, reminders, and requests for approvals, ensuring everyone stays aligned throughout the planning process.
- 211. We don't stophere
- 213. The Events Landscape Nowadays YCStartup in retreat Eventbrite Event discovery focused OpenTable Cvent Acquired by BlackStone for $4.6B in 2023 Consumer focused vFair Competitor to CVENT EventZilla Attendee registration and management Full-suite event planning fiestapro Our North Star: An AI-driven, user friendly, personalized & cost effective solution
- 214. Meet the Team LOUISEJONES ● MIT Sloan Fellows MBA ● Entertainment Executive (10 yrs) ● Professional practice (3 yrs) ● Festival finances (3 yrs) MARIA ARAYA ● MIT Sloan Fellows MBA ● Visitor Experience (3 yrs) ● Wayfinding (3 yrs) ● Architecture and Design (8 yrs)
- 215. THANK YOU! We’d loveto hear from you! If you are planning an event, please reach out.
- 217. REVOLUTIONIZING HOW CENTRALASIAN STUDENTS FIND THEIR PERFECT GRADUATE PROGRAM AND MENTOR NGAN NGUYEN SEVARA TADZHIBAEVA ZIYUAN CHEN TALEB ALASHKAR EDTECH & DIGITAL MARKETING PROFESSIONAL, KPMG/E&Y FINANCE & EDUCATIONAL CONSULTANT Mentor at MIT ADMISSIONS OFFICER, HARVARD TINDER FOR EDUCATION
- 218. Introduction Problem MarketSolution Business Model 02 03 IDEAL UNIVERSITY FIT MENTORSHIP + BUDGET FIT 40% of international applicants lack information about program fit and university culture (National Association for College Admission Counseling). 01 INFORMATION OVERLOAD
- 219. Demographic Insights ● Population:Approximately 75 million people reside in Central Asia, constituting 1% of the global population. ● 75 million total population; 10% (aged 22–28) actively pursuing international education 7.5 mln. ● +6.2% annual GDP growth (2000–2023): Outpacing the global average of 2.6%, creating rising disposable incomes. ● Students Interested in Studying Abroad: 10%~706,000 (UNESCO) 4 countries data ● Average cost $2000-2500 for Masters Introduction Problem Market Solution Business Model
- 220. Introduction Problem MarketSolution Business Model AI-Powered Matchmaking for Graduate Education + Mentorship
- 221. $49.99/m or $199.99/year $99.99/mor $399.99/year $199.99/m or $799.99/year BASIC STANDARD PREMIUM AI-powered program recommendations Basic university and program information Limited mentor access (1 session) All Basic features Advanced program comparison tools Personalized application strategy All Standard features Comprehensive application review 2 Mock interviews with feedback Application timeline and checklist Community forum access Essay review (up to 2 essays) Exclusive webinars and workshops Scholarship application assistance Introduction Problem Market Solution Business Model
- 222. START-UP FUNDING: $10,000+ MENTORSHIP & NETWORK CONTACTUS! Sevara_tadzhibaeva@gse.harvard.edu ASK
- 223. Private Intel Revolutionizing privateequity with AI-powered solutions. Joyce Ye and Bernard O'bien. MIT AI Foundations Course – Fall'24. 248
- 224. Problem Statement Data Fragmentation Privateequity firms deal with diverse data sources, including financial statements, market reports, CRM systems, third-party databases, and legal documentation. These sources are often siloed, with inconsistent formats and storage across platforms. Human Resource Intensive Tasks such as deal sourcing, financial modeling, and compliance reporting often require labor-intensive processes, such as manually copying and pasting data, creating spreadsheets, and performing repetitive analyses. Prone to Human Error Human intervention in data processing, analysis, and reporting introduces the possibility of errors, such as miscalculations, incorrect data inputs, or oversights in complex datasets. • Time-consuming manual efforts to gather, clean, and reconcile data. • Delayed analysis and decision-making due to lack of real-time data integration. • High reliance on skilled analysts for routine, repetitive tasks reduces their availability for strategic activities. • Lengthy timelines for due diligence and portfolio reviews, slowing the investment cycle. • Bottlenecks in scaling operations, as growing deal flow demands proportional increases in headcount. • Errors in financial models or valuations can lead to inaccurate projections and poor investment decisions. 249
- 225. Quality control &consistency challenges ▪ Multiple analysts working on different deals leads to inconsistent writing styles and analysis depth ▪ Historical deal knowledge not systematically leveraged across teasers Real-time market intelligence integration ▪ Manual effort required to update comparables and industry metrics ▪ Market data becomes outdated, risk of missing recent competitor moves or market dynamics Stakeholder alignment & feedback loop ▪ Challenge of maintaining document integrity through multiple review cycles ▪ Risk of missing critical feedback due to parallel review processes Strategic analysis depth vs. time constraints ▪ Limited time for deep analysis, difficulty in comprehensive risk assessment under time pressure ▪ Trade-off between breadth of analysis and depth of insights Investment Teaser creation currently with significant pain points 250
- 226. Market Sizing $5.85 billion GlobalPE AUM $6.5 trillion ARR (2% fee) $130 billion Relevant Spending (15%) $19.5 billion AI Tool Adoption (30%) $5.85 billion • The calculation reveals a Total Addressable Market of approximately $5.85 billion annually for AI tools in private equity. • This figure represents a significant opportunity for AI solution providers and highlights the potential for substantial efficiency gains within the industry. • It's important to note that this TAM estimation is based on current market conditions and adoption rates, with the potential for growth as the industry expands and AI technologies become more sophisticated. NOTES 251
- 227. Competitor Analysis |AI Market Map 252 AI use case solution Company Offering – Current state FTEs Maturity AI Search Engine for external data ▪ Search: web-based financial and company search engine, collects financially relevant data from various sources, indexes them making them searchable ▪ Focus: public market investor communication (public data, analyst/expert reports) Some PE Clients, most hedge funds AI Search Engine for internal data ▪ Search: AI powered keyword search engine across all company apps and databases ▪ Chatbot tool: fully referenced answers, analyses, and summaries from across all your documents, conversations, tickets, etc. Mostly enterprise AI market scout ▪ Deal sourcing: automated search, discovery and analysis of target businesses structuring and scoring of relevance ▪ RLHF1 refines search results based on feedback from user Some PE clients AI researcher ▪ Customer interviews: automated text-based customer interviews with generative AI moderation including follow-ups and responses (available in multiple languages) ▪ Synthesis & analysis: AI summaries, quantitative & qualitative insights on themes Enterprise focus ▪ Transcription: Automated transcription of human-conducted expert interviews ▪ Synthesis & analysis: Summaries, thematic highlight, and natural language search for project database of interviews PE/HF/Con focus 1. Reinforcement learning from human feedback Source: Pitchbook; company websites Completeness of solution – current state (based on AI use cases) Maturity of product – current state (beta to available in market) Emerging vendors Limited voice capabilities today 1,30 0 6 0 9 4 Low (beta) High (launche d)
- 228. Solution | KeyFeatures 253 Customizable Investment Templates AI-Driven Insights: • Live Web Scraping: Extracts up-to-date information from publicly available sources, including news, market trends, industry reports, and competitor analysis. • Internal Proprietary Database Access: Seamlessly integrates with your organization’s secure data repositories to include past deal data, private research, and confidential insights. • . • Define your own memo structure to fit your team’s unique needs and processes, whether for private equity, venture capital, or corporate investments. • Flexible formatting allows for tailored sections like market overviews, competitive positioning, risk analysis, and financial projections. • Automated Summarization: Transforms raw data into clear, concise insights, highlighting key metrics, trends, and risks. • Sentiment Analysis: Assesses market sentiment around a target company or industry based on news and public opinion. • Comparative Analysis: Benchmarks the target company against competitors Dual Data Integration
- 229. Solution 254 Data Integration Seamlessly combinelocal and web-scraped data. Automated Generation Create memos within seconds using AI. Customization Tailor output to user-specific memo templates. Search the Web Analyze internal data and reports Customized Output Agent Private intel can rapidly gather and analyze data on your market, your product and your competitors. It can actively surf the web in search of information and data for your task. Connect to internal data sources to add further context to any request and personalize the outputs. Generate memos matching specific templates and requirements.
- 230. How it Works 255 0102 Define Your Investment Template: Initiate Data Gathering: Use the built-in template editor to design a structure that aligns with your investment criteria. Input key details (e.g., company name, industry, financial metrics), and the system will automatically fetch relevant data from live and internal sources. 03 Generate Insights: The AI processes data and populates your template with summaries, charts, and insights tailored to your needs. 04 PR Support Download or share the memo in formats such as PDF, Word, or online collaboration platforms.
- 231.
- 232. The Team Joyce YeBernard O’bien CEO Sloan Fellows MBA 25 Decade of experiences as financial advisor assisting PE transaction in areas of valuation, DD, etc. CTO VF ‘25, SFMBA 26 Decade of experiences as a tech consultant, engineer, and exited founder, with experience in financial services and regulatory sectors. Steve Derezinski Shree Shirgurkar MIT SB mechanical engineer, Sloan fellow. Serial entrepreneur B2B SaaS at startups, mid-size companies; C10 mentor, Startup advisor Our Mentors
- 233.
- 234. Nov 2024 Youth EmotionWellness
- 235. Problem Sadness 33% of theGlobal population experiences negative emotions Youth Mental Health = 26 Billion USD Frustration Anxiety Stress Anger • Among U.S. adolescents (aged 12-17): ⚬ 1 in 6 experienced a major depressive episode (MDE) ⚬ 3 million had serious thoughts of suicide ⚬ 31% increase in mental health- related emergency department visits • Among U.S. young adults (aged 18-25): ⚬ 1 in 3 experienced a mental illness ⚬ 1 in 10 experienced a serious mental illness ⚬ 3.8 million had serious thoughts of suicide
- 236. What’s missing... • Limitedservice providers • Medication involvement • By appointment + emergency care • Time consuming • Entertainment driven • Non-psychology based • Customization needed • Unknown side effect • Lack of guidance Professional Engaging
- 237.
- 238. School Guidance +Psychiatrist / Therapy Follow-up Emotion Expression Emotion Analysis Dynamic Assessment Tailored Suggestion LLM + Knowledge Base + Data Analytics + Prompt Engineering + Text to Speech Our AI solution Professional grade tools trained on real clinical database
- 239. Our AI solution (cont.) •Psychology research-based and expetised data base • Multiple tools 24*7, tailored to different User prefenreces • Screening + guidances pre- CBT theropies • Built-in involvement from schools • Dynamic assessment • Trackable data for therapists
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- 241.
- 242.
- 243. Text-Based Large Language Models ❏ Lackembedding of geospatial data into interactive visualizations “Can you provide the most recent five campaign events, including the cities, for both Donald Trump and Kamala Harris in the 2024 presidential election?” Donald Trump's Recent Campaign Events: 1. Butler, Pennsylvania - October 5 2. Wilmington, North Carolina - September 21 3. Springfield, Ohio - Scheduled in mid-October 4. Las Vegas, Nevada - September 13 5. Tucson, Arizona - September 12 Kamala Harris's Recent Campaign Events: 6. Philadelphia, Pennsylvania - September 10 7. Phoenix, Arizona - Mid-September 8. Detroit, Michigan - Early October 9. Atlanta, Georgia - Early October 10. Las Vegas, Nevada - October Asking ChatGPT about the election
- 244. Complexity of Data Visualization Tools ❏ Staticdashboards with scientific formats ❏ Steep learning curve ❏ Unfriendly for non-experts Common map visualization workflow
- 245. 5K 5K 5K5K 5K 5K Users’ Preferences The New York Times ❏ Storytelling with data ❏ Mapping integrated ❏ Easier to understand ❏ More engaging ❏ Interactive The New York Times Resource: https://www.nytimes.com/interactive/2024/10/21/upshot/parking-mandates.html?unlocked_article_code=1.T04.s33h.ISs7sAwf0hpK&smid=url-share
- 248. Government Agencies & Urban Planners GeneralPublic Journalists Potential Users Educators & Students Travelers & Travel agencies Visualizing policy changes Informed and equitable decision- making Creating story-driven visualizations Developing interactive education modules Learning geographical and historical data Interacting with travel maps with detailed information Interacting with interesting data
- 249. MIT & Engineer Manager CEO RUIXIAN MA MEETTHE TEAM Harvard Design Technology CEO VIOLA TAN MIT Fellow Technology Reporter CEO JANE ZHANG Harvard University Medical Doctor & Data Scientist CEO MUHAMMAD JAWAD NOON MIT Sloan Fellows MBA Media CFO CEO LOUISE JONES
- 250.
- 260.
- 261.
- 262. Ineffective resource allocation Misalignedofferings Limited personalization Individual s Businesse s Generic maps Generic schedules Non-personalized information Problem
- 263.
- 264. Respond and planaround customer desires and needs Businesse s Tapestry, a smart guide to help… Individual s Find what they like and need in busy places like festivals
- 265. Tapestry’s specialized AIagents enhance convenience and engagement in busy spaces
- 266. ● scalability ● continuouslearning ● emergent intelligence Approach & Insight
- 267. sport events city-widefestivals 30M+ 20K Scalable ecosystems
- 269. CEO Maria Araya SFMBA25 15 yearshelping people enjoy built environments CTO Luis Luna CTO GLS Labs 13 years leading technology in AI/logistics Tapestry
- 270.
- 271. Expected visitors Social mediaposts Wi-fi hotspots Portable toilets Temporary tents Nashik Kumbh Mela 2027 What will it be like to arrive into a city of 2 million with another 30 million visitors like you? 30M 700M 7K 110K 280K
- 272.
- 273. FROM PAGES TO PERSONAS: THEEVOLUTION OF WEBSITES WITH AI are traditional websites obsolete in an ai-driven world?
- 274. Traditional Websites areOutdated, Inefficient, and Time- consuming.
- 275. FROM PAGES TOPERSONAS ● Voice Interaction ● Multilingual Support ● Visually Impaired Accessibility
- 276. Global AI-Powered WebsiteBuilder
- 277. Transforming user experiencewith AI-powered navigation
- 278.
- 279. AIbolat Abitbekov MIT SloanSchool of Management Bernard O'bien MIT Sloan School of Management Our Team
- 280. Shape the futurewith us—personas over pages. Seeking investors and tech visionaries to join the journey.
- 281. AI Venture Studio Fall2024 Final Pitches: 10-Noon Showcase: Noon-1pm Demo Day - December 5, 2024 https://aiforimpact.github.io/ Live: tiny.cc/demodemo
- 282. Fall 2024 Teams ZAcademy FixAI FixAI is an AI-powered diagnostic tool that helps users troubleshoot non-functioning appliances myLantern EcoVolt Better Off This Way LearnBridge SkillLink Pancho Wise AI hAIp otomo Health Passport MyGrad.AI augur Forest Quant Incepta Private Intel FiestaPro GeoNarrative Muddy Wood Gradmatch Moccet Tapestry AIWeb AI companions that transform self-reflection into emotional growth, resilience, and meaningful social connections. AI for energy management for decarbonization AI-powered, privacy-wall-protected agents that uncover opportunities tailored to your interests and schedule AI marketing platform to find right influencers, generate content and post it within influencers’ profiles in 3 clicks Personalized AI driven English tutor, Democratizing English Education Uncomplicating divorce: AI-powered step-by-step guidance to ease stress, lower legal fees, and deliver smoother outcomes. AI-Powered Marketplace Connecting SMB Restaurants and Distributors Decentralised skills verification and AI job matching for high skilled tech workers Empowering elderly care facilities with AI insights to enhance care quality, reduce resident turnover, and boost revenue. Real-time speech AI for navigating patient and optimizing operating room utilization Health Passport is an AI tool centralizing records, translating data, enhancing care, and monitoring hospital performance. AI assistant for optimizing complicated healthcare regulatory challenges like certification of needs AI platform that streamlines technology commercialization and innovation connecting technology transfer offices with entrepreneurs. The AI-powered TurboTax for graduate applications. An ML-powered platform offering credit ratings and insured credits to help SMEs make risk-free sustainability decisions. Revolutionizing Corporate Event Planning with AI AI-driven graduate program and mentor matchmaking platform AI powered RAG to help drive insights for PE firms AI solution for youth wellbeing An Generative AI tool converting text into narrative visualizations. AI project completion platform connecting businesses to Harvard/MIT talent AI-powered user engagement and crowd management in high-density spaces AI powered website.
- 283. Demo Day -Top Teams Bronze
- 284. Demo Day -Top Teams Bronze Silver
- 285. Demo Day -Top Teams Bronze Silver Gold
Editor's Notes
- #26 Hi I’m Schola and this is Sophia and we are Fix AI: the ultimate AI-powered solution putting appliance diagnostics and repair into the hands of homeowners. Our mission? Help you catch issues fast and fix them right—saving time, money, and frustration.
- #27 Last month I had a problem with my bathroom drain and couldn’t shower
- #28 After waiting two days for a plumber, he arrived, spent 10 minutes inspecting it, and told me it was a simple fix—it wasn’t.
- #29 I used our FIXAI interface. The tool analyzed the images and suggested that the issue actually required professional assistance.
- #30 Fix AI referred me to a new plumber who got the job done. By just utilizing our tool, I felt more confident that the problem was not that i didn’t know how to use a drain snake.
- #31 Let me show you how it works. (Play video:) Here is how our tool works as I test it on a broken kettle: 1 An object recognition model identifies the object, in this case, a kettle, which is part of our object library. 1 Once recognized, the tool guides you through troubleshooting steps sourced from common manuals and DIY tutorials. 2 An image-to-text model analyzes the object's condition, checking for issues like a damaged cord, an empty kettle, or a dirty base. 3 If none of these issues are present, the tool concludes the switch may be broken and provides an online reference to guide on how to repair such issue. In this instance, the kettle's issue was indeed a broken switch. TAKEAWAY: Highly personalized and engaging way to repair your household appliances
- #32 This could be for the 50,000,000 people a year of people who have sophia’s problems”
- #33 Or the 500,000,000 other DIY home repairs across the USA
- #34 Which accounts for $50 billion spent annually on problems that or easy to fix 70% of the time
- #35 Fix AI isn’t just for homeowners. We’re building partnerships with key players like major retailers, electronics brands, and warranty providers to integrate our technology.
- #36 Imagine Fix AI embedded in every appliance manual, retail purchase, and warranty plan—creating a seamless repair ecosystem.
- #37 This is already being done. The market exists, its just fragmented. Our competitors—like iFixit and Home Depot—offer pieces of the puzzle–repair guides, or service connections. But Fix AI brings everything home, with a seamless end to ends application, delivering the complete solution to your fingtips.
- #38 We’ll scale Fix AI through: Subscriptions for DIY homeowners seeking advanced tutorials. Referrals that connect users with reliable repair professionals. Partnerships with brands like Sears Home Services and Habitat for Humanity’s home maintenance program (already in progress).
- #39 We’re the dream team to make this happen. Sophia led research at Autodesk. Baffour has deep business development expertise from Rocket. Vandit was an investor at Accel Capital. And I’ve worked in design strategy and community impact with Habitat for Humanity. Together, we’ve seen the challenges and opportunities in home repairs firsthand.
- #40 Join the repair revolution. Scan the QR code to support our mission—and together, we’ll empower millions to catch it fast and fix it right.
- #41 GET RID - Don’t miss the the repair revolution… Join us… https://www.nerdwallet.com/article/finance/when-to-repair-or-replace-your-appliances TAKEAWAY: Highly personalized and engaging way to repair your household appliances
- #43 Demo Scripts Opening: Hi I am Chenyu and Amy, and we are Z Academy. we know you are all sick of well-being and social apps, our unfair advantage is we have this dream team purposefully selected to solve this problem. Team: I'm Chenyu Zhang, founder of Z Academy and I have over a decade of experience in AI-powered product development. Our team includes Connie, a Harvard and rhode island-trained designer, Amy, a public health expert from Harvard, and our mentor Tom, a psychologist with 20 years of expereince. Together, we’re transforming self-reflection into emotional growth, resilience, and meaningful social connection. Imagine waking up one morning, feeling overwhelmed by yesterday’s challenges, unsure how to move forward. Now, imagine having a trusted companion—a tool that doesn’t just listen but helps you understand, reframe, and even connect with others experiencing the same struggles. This is SMART Journaling by Z Academy. It's the First Journaling Companion That Builds Emotional Connection—With Yourself and Others (demo) Meet Sarah, a young professional feeling burnt out after a tough week. She opens SMART and records her feelings using the voice interface using her native language. She reflects, reframes her negative thoughts, and feels a sense of accomplishment. She shares this entry with her small, trusted group in SMART’s social feature. Her peers respond with encouragement and share similar stories. By the end of the session, Sarah feels lighter, supported, and more resilient. She even sees a visualization of her emotional progress—a reminder that growth is possible, one step at a time. Vision At Z Academy, we envision SMART as the next Facebook—but one that prioritizes well-being and pro-social behavior. By integrating self-reflection, emotional growth, and meaningful connections, SMART fosters a healthier, more empathetic online community where individuals and groups can grow, heal, and thrive together.
- #74 New workable email version: https://v0.dev/chat/Wy23xHho2Is?b=b_XEmvskWo5Xf New landing page: https://v0.dev/chat/Wy23xHho2Is?b=b_MrAcpUfV4XJ link to a video: From Marblism to pages - will add to combine the tech process, landing page, and the workflow.
- #76 It is expensive, time consuming, and laborious to search and discover information as well as to plan for activities on personal interest
- #78 New workable email version: https://v0.dev/chat/Wy23xHho2Is?b=b_XEmvskWo5Xf New landing page: https://v0.dev/chat/Wy23xHho2Is?b=b_MrAcpUfV4XJ link to a video: From Marblism to pages - will add to combine the tech process, landing page, and the workflow.
- #81 https://www.youtube.com/watch?v=YqzDeeNRXjk After assessing the user's level, their journey begins with interactive real-life exercises with online personalized suggestions. Essays are analyzed with mistakes color-coded, highlighting personal repeated mistakes, cultural misunderstandings, and spelling errors. We provide a better version with minimal changes that would score higher to help users learn to write better. Feedback is provided in English and the user's native language, with accompanying audio. We believe we can make English learning efficient, enjoyable, and stress-free.
- #82 Slide 1: We are LearnBridge, a personalized AI tutor aiming to democratize language writing, starting with the English language. Slide 2: People all over the world learn English as a gateway to opportunities, but most of them face a challenging journey: 1) learning is expensive, with average prices around $50/ hour, 2) solutions are mostly ineffective as they are not tailored to the individual, 3) stress has been cited as a problem for learners, and 4) quality education isn't accessible to all Slide 3: LearnBridge is a platform that is 1) personalized through AI, 2) that is interactive and provides the user with tailored insights, and 3) that is gamified to motivate learners with engaging features Target Market (10 sec): We begin with the TOEFL exam—a gateway for non-native English speakers. Our approach includes: Initial assessments, tailored exercises, progress tracking, and test simulations to prepare learners for success. Demo (55 sec): Here’s how LearnBridge works: Users start with an assessment of their English proficiency. They then progress through real-life, interactive exercises. Mistakes are color-coded to highlight personal patterns, cultural misunderstandings, and spelling errors. We provide better versions of their writing with minimal changes to teach improvement. Feedback is offered in both English and their native language, with audio explanations to enhance understanding. LearnBridge makes learning efficient, enjoyable, and stress-free. Competitive Differentiation (10 sec): Unlike others: Duolingo is great for beginners but lacks depth. Grammarly focuses on corrections, not teaching. IELTS tools are expensive and generic. LearnBridge combines personalized learning with regional customization, making it the best solution for learners. Market Size (10 sec): TAM: Total Addressable Market- Serviceable Addressable Market Serviceable Obtainable Market The global market for English learning is huge $70.7 billion 2030. However, we’re starting as a beachhead with TOEFL learners in India, Jordan, Syria Go-To-Market Strategy (10 sec): We’ll offer $15/month subscriptions for individuals. Corporate and institutional partnerships will drive adoption at scale. Progress and Team (10 sec): We’ve conducted focus groups to shape our product. Our team of Harvard and MIT experts brings passion and personal experience to this mission. Call to Action (10 sec): Join us in democratizing English learning—one learner at a time. Together, we can bridge the language gap and unlock opportunities for millions.
- #86 https://www.youtube.com/watch?v=YqzDeeNRXjk After assessing the user's level, their journey begins with interactive real-life exercises with online personalized suggestions. Essays are analyzed with mistakes color-coded, highlighting personal repeated mistakes, cultural misunderstandings, and spelling errors. We provide a better version with minimal changes that would score higher to help users learn to write better. Feedback is provided in English and the user's native language, with accompanying audio. We believe we can make English learning efficient, enjoyable, and stress-free.
- #94 0:00 → Intro, Hi – We are OJ from MIT and Anni from Stanford we’re building hAIp, AI-platform that makes influencer marketing accessible in 3 easy clicks 0:10 → Market, Problem, Competition The influencer marketing is able to provide highest ROI and is growing at 30% annually but still remains at less than 4% of the half-trillion-dollar digital marketing industry. The reason? It is still slow, manual and inefficient. On average it takes 5 weeks from planning to posting content — and most of businesses cannot afford time, expertise, or budget. From other side of the funnel, 83% of 6 million influencers with over 50 thousand followers in US do not even commercialize from it. Existing platforms like GRIN and Upfluence handle only influencer search, missing key features like AI-automated content generation and direct posting 0:40 → Product, Value Proposition Our platform combines all 3 steps of influencer marketing: AI matching, automated content generation and real-time posting. This way businesses get full marketing control by posting their content in minutes instead of weeks, while influencers get 32x more offers. 1:05 → Solution, Why Now hAIp solves this problem by using AI to help businesses find the right influencers, generate content with best available tools, and post directly on influencer profiles—all in just 3 clicks. 1:30 → Demo Imagine Sara, a e-commerce CEO who struggling with low traffic. She wants to advertise a Black Friday discount. To do that, in Step 1, Sara orders AI to find influencers in Cambridge who fit her target customers. Then she chooses influencer based on metrics she likes which takes her to Step 2, where She generates content with AI or simply uploads her own picture or video. Instantly, this takes her to Step 3 where, influencer approves the content, just like an Uber driver accepts a ride. And in just a moment, the content is posted. What once took weeks now happens in just three effortless steps. 2:10 → Team Together our team brings over 20 years of experience in marketing, and platform building. So, while OJ did influencer marketing campaigns as a Chief Commercial Officer at telecom company, I was building CRM platforms at IBM and developing PLG strategies at BCG. 2:30 → Traction, Ask, Goal So far, we talked to 73 businesses, and secured 35 beta version commitments in Cambridge and Palo Alto, as we will onboard 800 businesses within the first year. hAIp is a scalable product that changes how businesses market themselves. We make influencer marketing effortless, fast, and accessible.
- #95 0:00 → Intro, Hi – We are OJ from MIT and Anni from Stanford we’re building hAIp, AI-platform that makes influencer marketing accessible in 3 easy clicks 0:10 → Market, Problem, Competition The influencer marketing is able to provide highest ROI and is growing at 30% annually but still remains at less than 4% of the half-trillion-dollar digital marketing industry. The reason? It is still slow, manual and inefficient. On average it takes 5 weeks from planning to posting content — and most of businesses cannot afford time, expertise, or budget. From other side of the funnel, 83% of 6 million influencers with over 50 thousand followers in US do not even commercialize from it. Existing platforms like GRIN and Upfluence handle only influencer search, missing key features like AI-automated content generation and direct posting 0:40 → Product, Value Proposition Our platform combines all 3 steps of influencer marketing: AI matching, automated content generation and real-time posting. This way businesses get full marketing control by posting their content in minutes instead of weeks, while influencers get 32x more offers. 1:05 → Solution, Why Now hAIp solves this problem by using AI to help businesses find the right influencers, generate content with best available tools, and post directly on influencer profiles—all in just 3 clicks. 1:30 → Demo Imagine Sara, a e-commerce CEO who struggling with low traffic. She wants to advertise a Black Friday discount. To do that, in Step 1, Sara orders AI to find influencers in Cambridge who fit her target customers. Then she chooses influencer based on metrics she likes which takes her to Step 2, where She generates content with AI or simply uploads her own picture or video. Instantly, this takes her to Step 3 where, influencer approves the content, just like an Uber driver accepts a ride. And in just a moment, the content is posted. What once took weeks now happens in just three effortless steps. 2:10 → Team Together our team brings over 20 years of experience in marketing, and platform building. So, while OJ did influencer marketing campaigns as a Chief Commercial Officer at telecom company, I was building CRM platforms at IBM and developing PLG strategies at BCG. 2:30 → Traction, Ask, Goal So far, we talked to 73 businesses, and secured 35 beta version commitments in Cambridge and Palo Alto, as we will onboard 800 businesses within the first year. hAIp is a scalable product that changes how businesses market themselves. We make influencer marketing effortless, fast, and accessible.
- #101 https://youtu.be/FHYIz6a1LBo
- #106 Hello everyone, my name is Brenda, but you can call me Bree—like the cheese. Today, I’m excited to introduce you to Better Off This Way, a solution that redefines how we navigate one of life’s toughest challenges: divorce.
- #107 Let me start with a question—raise your hand if you’ve ever had a relationship that went pretty bad or experienced heartbreak.
- #108 If you haven’t been through a divorce, think of that pain and amplify it by ten—that’s how divorce feels.
- #109 In fact, according to a Dartmouth study, divorce is the second most stressful life event, surpassed only by the death of a spouse.
- #110 In fact, according to a Dartmouth study, divorce is the second most stressful life event, surpassed only by the death of a spouse. But what if we could make this process just 1% better? That’s where we come in.
- #111 Think about this—we hire wedding planners a year in advance to organize a single day—the happiest day of our lives. But divorce, one of the worst life experiences, that drags on for months or even years, is something we’re left to navigate on our own. Let me introduce you to Div, your AI-powered divorce planner.
- #112 Div makes your journey significantly better by giving you legal, financial and emotional support in a single platform. It tracks your progress, lays out your next steps, and ensures nothing falls through the cracks - so you can regain control and move forward with confidence.
- #113 First, it consolidates everything into a single source of truth—no more angry emails or WhatsApp messages. Whether you’re collaborating with your spouse or simply uploading a photo of your documents, Div ensures every file is secure, accessible, and organized. AI tools then draft legal documents, suggest parenting plans, and recommend co-parenting agreements tailored to your needs.
- #114 Second, Div equips you to outsmart your lawyer—and even your ex. With tools to visualize financial assets, calculate alimony, and plan your post-divorce budget, Div demystifies the legal and financial complexities of divorce, empowering you to make informed decisions
- #115 Finally, Div is for everyone—both men and women. You can personalize the platform to your best possible coach. You could ask Div to be, for example, Tim Ferriss, Oprah or, who knows, Pikachu.
- #116 For instance, Div can simulate conversations to help you prepare for tough discussions. Let’s imagine Tim Ferriss is my ex, and I ask Div to role-play to negotiate our pet custody.
- #117 https://youtube.com/shorts/Yzs1b209NUs?feature=share No you don’t! I keep the dog, Tim, I’m sorry.
- #118 We believe AI companionship is a transformative trend, as you can see in this graph - companion has 10x more engagement vs. other AI use cases
- #119 Divorce is just the beginning. The divorce market alone represents $50 billion annually, and when you include co-parenting, domestic violence and family law, the opportunity grows to $130 billion in the US only
- #120 And Peter Thiel would say, “competition is for losers”. No one is addressing the entire divorce journey like we are. Better Off This Way integrates emotional, legal, and financial support into one platform, powered by AI. We’re faster, more affordable, and more empathetic than anyone else in the market.
- #121 So, when your ‘I do’ becomes ‘I don’t,’ give us a call. We’re here to help make your divorce not just survivable, but manageable, empowering, and a thousand times better. Thank you
- #123 Closing (5 seconds): Pancho isn't just fixing margins; we're revolutionizing the restaurant-distributor relationship. It's time to stop leaking money and start maximizing profits.
- #124 Opening 1 (5 seconds): The restaurant industry is a trillion-dollar revenue with a $60 billion leakage problem. How do we know this? Quote source and year – and the US restaurant industry
- #125 Opening 2 (10 seconds): we have experienced this firsthand as owners and operators of 18 restaurants in two culinary global capitals, Lima and New York. Poner logos y notas
- #126 Problem 1 (10 seconds): Restaurants have been tackling rising costs, labor shortage and technology gaps individually which represents XX% of restaurants costs. But we lack the ability to provide aggregated forecasts and collectively negotiate better prices. Distributors struggle with inefficient order processing, high REFUNDS, and lost sales which also represents YY% of food distributors costs. Bien restaurante a la izquierda y distribuidor a la derecha Escribir distribuidor abajo de la imagen
- #127 Problem 2 (10 seconds): The current relationship between these two entities is broken, leading to significant inefficiencies costing $60 billion annually.
- #131 Problem 1 (10 seconds): Restaurants have been tackling rising costs, labor shortage and technology gaps individually which represents XX% of restaurants costs. But we lack the ability to provide aggregated forecasts and collectively negotiate better prices. Distributors struggle with inefficient order processing, high REFUNDS, and lost sales which also represents YY% of food distributors costs. Bien restaurante a la izquierda y distribuidor a la derecha Escribir distribuidor abajo de la imagen
- #132 Traction (15 seconds): We've validated our concept with 25 restaurateurs. 5 distributors are keen on pilots. Our approach has been recognized by MIT Sandbox, confirming the market need.
- #148 Industry is expected to grow to $2.9 trillion by 2030, with a CAGR of 6.8%
- #152 Our sensors monitor residents' activities, such as sleep patterns, disruptions during sleep, or falls. In terms of any incidence or risk of incidence, it automatically sends alerts to caregivers through text messages or phone calls to respond quickly. All sensor data is collected on a fully functional platform that we have developed, which allows caregivers to better understand the health status of their patients and not miss anything. This data and platform is really important because it also allows us to further train our algorithms to provide health recommendations and insights about every single patient, such as prediction of falls, churn or any other health condition. https://www.loom.com/share/126b245d3b7e4bb489ccb85ac3008e50?sid=92ef64e6-5ee2-42ff-935c-ca3a3b55c704
- #154 Highlight as most common causes of hospitalizations: falls, sentiment, UTI, hydration, mobility etc.
- #157 17 secs - 15
- #158 This onwards - 30 seconds
- #159 Emphasize
- #165 ASGE | Practical Solutions | October Reduce the Impact of No-Shows and Cancellations Stop Missed Appointments: Reduce Patient No-Shows with Dash Official journal of the American College of Gastroenterology | ACG Missed Appointments, Missed Opportunities: Tackling The Patient No-Show Problem https://pmc.ncbi.nlm.nih.gov/articles/PMC7056047/#:~:text=These%20guidelines%20recommend%20a%20maximal,6%20months%20for%20screening%20colonoscopy. https://journals.lww.com/ctg/fulltext/2024/09000/a_quality_improvement_study_on_colonoscopy_wait.8.aspx
- #166 For physicians its like a copilot and for patients its like duo-lingo
- #167 For physicians its like a copilot and for patients its like duo-lingo
- #169 Total endoscopic procedures: 22,162,641 Colonoscopy: 13,837,748 Upper endoscopy: 7,459,419 Flexible sigmoidoscopy: 379,883 Upper endoscopic ultrasound: 290,655 ERCP: 177,508 Lower endoscopic ultrasound: 17,428 https://www.endoscopy-campus.com/en/ec-news/u-s-gi-endoscopy-volumes-biggest-change-is-increases-in-upper-endoscopic-ultrasound/
- #175 Gulf countries are leading the shift to value-based healthcare systems, requiring providers to track patient-reported outcomes as part of government mandates. With over 50% of the population being non-nationals, approximately 59 million patients need interoperable health records to fully benefit from the implementation of VBHC. 20 SECONDS
- #176 The fragmentation of expat health records poses three critical challenges: (1) expats are unable to communicate their medical history due to records scattered across EHRs, handwritten notes, and informal platforms like WhatsApp; (2) doctors struggle to provide accurate diagnoses and insights; and (3) providers face barriers in implementing VBHC due to the lack of interoperable systems 30 SECONDS
- #177 Imagine Sara, a chronic arthritis patient, who grew up in India, studied in the US, worked in Italy, did her masters in France, and now lives in the UAE. Sara currently struggles to find continuity of care given her scattered records. Our solution will allow her to: Automate Requests to providers to ask for her patient data She will be able to upload her medical records to the platform in any language or format. She will see her consolidated records in one unified language She can give access to her new provider to her complete health history, enabling them to provide more informed care. Between visits, Sara can log in any new symptoms and fill out her PROMs on the go, in her preferred method of answering a survey or sending in a voice note 45 seconds
- #179 So why us? Our team has the experience to develop and lead an AI healthcare solution in the Middle East– our backgrounds span software engineering, AI applications, medicine, VBHC, health wearables, product management, and management consulting 15 seconds
- #180 We Need you to revolutionize healthcare 5 SECONDS
- #182 Augur bookmark
- #188 Let me introduce product augur some of our differentiators web based and user friendly model customization and references and now we will do the demo
- #199 Video URL: https://youtu.be/QNq4msd3pUM
- #207 Good morning! My name is Nick Maynes, and I’m here to present my startup, Incepta—a platform that connects entrepreneurs with cutting-edge technologies, research, and funding opportunities to turn innovative ideas into successful ventures. Our goal is to revolutionize the technology transfer ecosystem
- #208 Currently, the ecosystem for matching researchers, entrepreneurs, and technologies is fragmented. Over $1 billion in capital is misallocated each year, and 95-97% of patents remain unused, failing to achieve their intended impact. This represents a massive lost opportunity for innovation and economic growth
- #209 At the startup level, the stakes are even higher. Around 90% of startups fail, with the top reasons being misreading market demand (42%), lack of funding (29%), and cash flow issues (82%). Incepta aims to solve these challenges by aligning resources and opportunities more effectively.
- #210 Incepta bridges the gap between technology transfer intellectual property, federal grant funding, researchers, and founders. By simplifying access to these critical resources, we empower student founders and first-time entrepreneurs to launch and grow their ventures successfully. This alignment helps unlock the true potential of untapped innovations
- #212 In our first month, we’ve gained traction with users, established partnerships with tech transfer offices, and secured interest from the WTP ecosystem. These early wins validate both the demand for Incepta and its potential for scalability
- #213 Our team is uniquely positioned to address these challenges. I’m Nick Maynes, with experience at Bain, Accenture, and military leadership. Our CTO, Feroze Mohideen, brings expertise from Amazon and Ironclad, coupled with a strong academic foundation from Duke and Harvard
- #214 ncepta is transforming the innovation ecosystem by connecting the dots between technology, research, and funding. Join us on this mission to unlock the full potential of innovation. Thank you!
- #216 The technology transfer market presents a significant opportunity. Globally, it’s worth $5.88 billion, with a $2.94 billion U.S. market. Even a modest 1% penetration results in a $294 million serviceable obtainable market, not including potential equity or flat fee revenues.
- #220 Now carbon marketplace is unreliable and is highly fragmented. •Lack of Transparency: Buyers and sellers struggle to find reliable information •Quality Assessment: Difficulty in assessing the quality and impact of carbon credits
- #221 Our solution, Forest Quant, is a ML-powered carbon platform that delivers credit ratings and insurance-backed credits, empowering SMEs to make smarter, risk-free decisions in their sustainability journey.
- #222 Eahc stakeholder has its own stance - after we have our product ready - sumarize what their stance is - Now carbon marketplace is unreliable and is highly fragmented. •Lack of Transparency: Buyers and sellers struggle to find reliable information •Quality Assessment: Difficulty in assessing the quality and impact of carbon credits
- #283 What will you do? (Ramesh)
- #289 Tapestry Pitch Opening (15 seconds) Tapestry is revolutionizing high-density spaces with an AI agent ecosystem for personalized experiences and intelligent crowd management. Founded by experts in user-centric urban design and AI-driven logistics, we're creating a self-orchestrating digital fabric for bustling environments. Problem (20 seconds) In busy spaces like festivals and campuses, it’s hard to navigate our surroundings while also navigating the information overload and we miss out on relevant experiences! On the other hand, businesses face ineffective resource allocation and misaligned offerings. This affects millions of people globally and impacts a $10+ trillion experience economy.Our goal is to solve these challenges through an interconnected network of AI agents. Solution (40 seconds) Tapestry deploys a network of specialized AI agents to enhance convenience and engagement in busy spaces. Visitors interact with Experience Optimizing Agents, Social Connector Agents and Convenience Concierge Agents. Vendors engage with Smart Operations Agents for optimal positioning of mobile vendors, dynamic pricing and inventory management on predicted consumption patterns and Customer Engagement Agents for personalized promotions and targeted marketing. Businesses and organizers interact with Crowd Intelligence Agents, Smart Resource Allocation Agents and Customer Engagement Agents. The solution spans different scales, from interest-specific events like a ball game to more complex events like music festivals to high-complexity environments like city-wide pop-up festivals such as Kumbh Mela in India- the world’s largest people gathering. Approach & Insight (20 seconds) The convergence of AI, IoT, and the booming experience economy makes Tapestry uniquely positioned. Our agent-based approach allows for Scalability- the modular agent structure can be easily expanded or customized, Continuous learning, and Emergent intelligence where interactions between agents lead to innovative solutions that might not be apparent in centralized systems By combining advanced AI models with real-time data from both digital and physical interactions, we create a comprehensive understanding of user behavior and space dynamics that existing solutions can't match. Demo (40 seconds) Team (15 seconds) Our team combines deep expertise in built environments and AI systems. I'm Maria, with 15 years in user-centric urban design and visitor experience. My co-founder Luis brings 13 years of experience leading AI and logistics tech solutions. Together, we're weaving intelligent agents into the fabric of bustling environments! Traction (15 seconds) We're part of MIT Kumbhathon at the Media Lab, developing AI-powered 'city-stack' initiatives. We're supporting an 'AI-First Kumbh Mela' for the 2027 event in Nashik, India, expected to attract 30 million visitors. Our agent-based model promotes inclusive innovation and responsible AI use worldwide. Call to Action (10 seconds) We're seeking strategic partners to test and refine our AI agent ecosystem. Scan this QR code to sign up as a business partner or beta user and be part of the Tapestry revolution. Closing (5 seconds) Join us as we weave the future of spatial experiences with Tapestry's intelligent agents. Thank you!
- #290 In spaces like festivals, it’s hard to navigate new busy surroundings while also navigating the information overload and we miss out on relevant experiences!
- #291 Individuals rely on generic maps, generic schedules and non-personalized information. On the other hand, businesses face ineffective resource allocation and misaligned offerings. This affects millions of people globally and impacts a $10+ trillion experience economy.Our goal is to solve these challenges through an interconnected network of AI agents.
- #292 Yet 75% of users are willing to pay for convenience
- #294 Tapestry deploys a network of specialized AI agents to enhance convenience and engagement in busy spaces.
- #295 The convergence of AI, IoT, and the booming experience economy makes Tapestry uniquely positioned. Our agent-based approach allows for Scalability- the modular agent structure can be easily expanded or customized, Continuous learning, and Emergent intelligence where interactions between agents lead to innovative solutions that might not be apparent in centralized systems By combining advanced AI models with real-time data from both digital and physical interactions, we create a comprehensive understanding of user behavior and space dynamics that existing solutions can't match.
- #296 From specific events in fixed venues to city-wide pop-up events
- #298 Our team combines deep expertise in built environments and AI systems. I'm Maria, with 15 years in user-centric urban design and visitor experience. My co-founder Luis brings 13 years of experience leading AI and logistics tech solutions. Together, we're weaving intelligent agents into the fabric of bustling environments!
- #300 We're part of MIT Kumbhathon at the Media Lab, developing AI-powered 'city-stack' initiatives. We're supporting an 'AI-First Kumbh Mela' for the 2027 event in Nashik, India, expected to attract 30 million visitors. Our agent-based model promotes inclusive innovation and responsible AI use worldwide.
- #301 We're seeking strategic partners to test and refine our AI agent ecosystem. Scan this QR code to sign up as a business partner or beta user and be part of the Tapestry revolution.