『From Product to Platform: What VCs Look for in Scalable, Defensible AI Businesses』のカバーアート

From Product to Platform: What VCs Look for in Scalable, Defensible AI Businesses

From Product to Platform: What VCs Look for in Scalable, Defensible AI Businesses

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Tonya Long moderates a panel with Sudhir Kadam, John Cowan, Bao Tran, and co-moderator Shilpa on how startups evolve from easily built AI products into scalable, defensible businesses that investors fund. They argue product-market fit is the beginning of a “crossing the chasm” transformation: shifting from product to business, delivering complete solutions, building repeatable customer acquisition and sales processes, avoiding custom work disguised as product, and hiring talent suited to each stage. Bao emphasizes defensibility through IP and strategy, sharing Invisalign’s patent “moat” example, while John cautions patents can be hard to enforce and stresses execution, distribution, and niche underserved segments. The panel discusses changing early-stage capital sources toward family offices and direct investors focused on clear liquidity paths and suggests broader fundraising approaches like 506(c) solicitation and using AI to attract investors. They close advising founders to deepen customer understanding, balance conviction with pivoting, and iterate rapidly with AI.


00:00 Welcome and Setup

01:24 Meet the Panel

04:29 Three Big Questions

05:17 Scaling Past PMF

08:28 Repeatability Traps

10:49 Hiring for Growth Stages

16:52 Investor Signals and Team Fit

17:14 Building Moats with IP

21:32 AI Era Capital Efficiency

22:03 Service Plus AI TAM

23:20 Human Hybrid Reality

24:30 Series A Market Signals

25:48 Moats And Defensibility

26:49 Patents As Business Tool

29:54 Execution Beats IP

32:11 Niche Strategy Moat

33:14 Investor Liquidity Shift

38:29 Beyond Silicon Valley Capital

42:11 Founder Focus Next Year

44:04 Closing Takeaways Thanks


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