let's cut through the AI hype with AI due diligence
Due Diligence to Cut Through the AI Hype
(VCs) AI Due Diligence, to help evaluate trade-offs in a start-up's risks and opportunities around what the start-up is (or will be) actually doing -- vs what they pitched they're doing.
(VCs, Accelerators, Start-ups) Pitch deck due diligence to evaluate (or tell the story of) how the product really solves the customers' pain points, why we need it now, and how technology/AI can help the start-up scale.
How I Typically Support Funds
Tier 1: Quick review of the website/deck and let you know (1) if the pitch is hyped or not, (2) a 1-sentence summary of where the biggest issue may be.
Tier 2: If it's potentially not all hype, help you uncover potential risks and opportunities by:
Reviewing the website/deck/etc., and create questions for you to ask the start-up; or
Joining during pitch due diligence to ask questions and discuss afterward.
Tier 3:
Discuss the scope of a deeper dive into Data Room/product/team, etc. (including any gaps you already see that you need more support with to help you evaluate);
Evaluate (keeping you in the loop with the potential to expand scope);
Prepare a summary of risks, challenges, and opportunities;
Discuss.
Tier 4: Retianer/custom to your needs and scope.
My Mission
I've transformed 100+ start-ups with a data and AI strategy for product market fit -- and answer frequently asked questions about those (and other topics) on my "Dear Advisor" blog. I want to help you evaluate start-ups to see if they're making the same mistakes others make -- or if they've created a scalable, defensible technology-enabled moat(s) to help their company grow.
"AI not delivered as a data product leads to hallucinations and nightmares.” --Irina Kukuyeva, PhD
Please note: The only industries I don't support are pharma, cannabis, quantum computing, and crypto.
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