About DiligenceAI
VCs rely on pattern matching and gut instincts, missing systematic opportunities. DiligenceAI provides comprehensive data analysis for better decision making.
The Research Gap in VC
VCs focus on warm introductions and polished presentations, but valuable signals exist in GitHub activity, Reddit discussions, and developer communities. Most firms lack the capacity to systematically analyze these sources.
Network effects often determine funding outcomes more than merit. Partners can only thoroughly evaluate a limited number of deals per week, leading to missed opportunities.
DiligenceAI enables one associate to conduct research that would take a team weeks. Systematic analysis scales human judgment.
About the founder
Harvard MBA. Theoretical math/physics background. Bain Capital alum. I've applied systematic data analysis to investing for years. My alt-data hedge fund ranked #1 globally on SumZero for nearly two years and was featured twice in Barron's. Quantitative approaches deliver results.
Early-stage VC still relies heavily on pattern matching and network effects. Most firms evaluate deals the same way they did 20 years ago. DiligenceAI brings systematic analysis to early-stage investing. It allows thorough evaluation of significantly more opportunities with consistent quality.