VCMatch.ai

VCMatch.ai solves a fundamental problem in startup fundraising: finding the right investors. Instead of cold-emailing hundreds of VCs, founders can upload their pitch deck and get matched with investors whose investment thesis actually aligns with their startup.

The system uses vector embeddings to understand both the startup's pitch and each VC's investment patterns. We analyze portfolio companies, blog posts, tweets, and stated thesis to build a rich understanding of what each investor is actually looking for.

The matching algorithm considers stage, sector, geography, check size, and thematic alignment. Results come back in under 30 seconds with confidence scores and reasoning for each match.