Explore how Leonis Capital combines academic research expertise with venture investing to back technical founders building AI-native companies, achieving remarkable returns through their unique approach.

From Columbia University alumni built in San Francisco
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From Columbia University alumni built in San Francisco

Lena: Hey there, Miles! I've been hearing a lot about this venture capital firm called Leonis Capital lately. They seem to be making waves in the AI investment space, but I'm not sure what makes them different from the sea of other VCs out there.
Miles: Oh, Leonis Capital is fascinating, Lena! They're not your typical VC firm chasing the latest trends. They're actually research-driven at their core, specifically focused on backing technical founders building AI-native companies.
Lena: Research-driven? That sounds different from the pattern-matching approach most VCs take.
Miles: Exactly! What's interesting is that they're led by this unique partnership between Jay Zhao, who has this traditional VC background with experience backing unicorns like Marqeta, and Jenny Xiao, who was an early OpenAI researcher with a PhD from Columbia. They've built this team that includes eight research fellows with PhDs from places like Stanford and MIT.
Lena: Wait, so they're essentially bringing academic-level technical expertise to venture investing? That's pretty unique.
Miles: Right! And it seems to be working. Their first fund is reportedly performing in the top 1% of its vintage, with some investments seeing 50-200x markups. They just closed a fully subscribed $25 million Fund II in 2025 to continue backing AI builders.
Lena: You know, I'm curious about how this research-driven approach actually translates to finding and supporting startups. It sounds great in theory, but how does it work in practice?
Miles: Let's explore how their technical depth and research methodology gives them an edge in identifying promising AI companies before they're on everyone's radar.