Endowmatch
Proposed as a new solution to AI powered co-investment platform for university endowment funds
AI-powered platform could allow endowments scalable access to vetted direct investment options with less internal workload or expertise required.
MAP Idea
- Build the core AI model to analyze publicly available deal data to generate risk/return scores.
- Partner with 1-2 top VC/PE funds to gain access to metadata on recent non-public deals to expand the training data.
- Create a basic profile builder for endowments to outline preferences like sectors, deal sizes, returns targets.
- Develop a simple dashboard displaying 10-20 curated opportunities per month based on endowment profiles and AI analysis.
- Include key deal details, financials, AI assessment but no full due diligence package yet.
- Allow endowments to indicate interest directly on the platform in a poll/survey format.
- Gather feedback on deals, opportunity pipeline, and platform usability.
- Integrate with a small number of endowments initially as beta-testers.
- Iterate based on feedback - add more funds, improve AI models, expand data/analytics on deals.