AI in Venture Capital: How Investors' Crawlers Find Your Startup

It's no longer a thing of the future: AIs decide whether startups receive funding or not. Never alone and not in every case, but more and more VCs are using AI to, as they wish, make better investments – ones that generate the highest possible return.

This poses the question for founders: How do I pitch to an AI? What do I need to do to be found by crawlers and approved by algorithms? What data is relevant for the machine? How do I impress the AI ​​investor? And: Is it even possible?

André Retterath is a partner at Earlybird in Munich and a pioneer in the field of AI in the VC industry . He has been driving the field of "data-driven VC" for years and has now published his second annual report on the global "Data-driven VC Landscape 2024."

We summarize what it says for you – and provide answers to the question of how startups should prepare themselves for “data-driven VCs” (DDVCs for short).