AI-Native Venture Capital
Better deal flow. Faster decisions. Smarter analysis.
We analyze market signals from multiple sources—GitHub activity, hiring patterns, customer sentiment, YouTube trends, Reddit discussions—using both structured data analysis and LLM interpretation. This gives us early visibility 6-12 months before anyone else, enabling us to identify exceptional opportunities before they're widely known.
Systematically evaluate thousands of companies annually
Separate wheat from chaff analytically, rather than bassed on heuristics
Combining pitch decks, private data and public signals
Why the Time Is Now
🔬 Technology Evolved
We combine traditional data science on structured signals (GitHub commits, hiring patterns, social media metrics) with LLM interpretation of qualitative data (customer reviews, market sentiment, YouTube trends). This systematic, multi-layered approach reveals what traditional investors miss.
📊 Data Is Abundant
Founders leave digital footprints everywhere—code, hiring, market movements, behavior patterns. This signal-rich data was inaccessible a decade ago.
🎯 Differentiation Possible
VC outcomes are driven by the 2-5% of deals that really work. Systematic market signal analysis unlocks differentiation where it matters most.
⚡ Evolution in Motion
Every major industry has evolved with technology. Venture capital's tools haven't kept pace. Now they can—and that changes the outcome for founders and LPs alike.