Mosaic Raises $18M Series A to Build AI Deal Modeling Platform for Private Markets

Between a sleepless associate triple checking a broken Excel link at 2:13 a.m. and a partner asking why the numbers feel off, private markets have been running a quiet gamble for years. The system holds together just enough to pass the meeting, but underneath it, the cracks have been compounding interest. And when those cracks show up, they don’t whisper, they invoice.

That’s the gap Mosaic walked into, no grand entrance, just a sharp awareness that deal modeling has been running on muscle memory and caffeine for about 40 years too long. Built out of New York with a second pulse in Toronto, Mosaic is engineering an AI-driven deal modeling platform that doesn’t guess, doesn’t hallucinate, and definitely doesn’t mislink cell C47 to nowhere. Deterministic math, auditable outputs, and workflows that actually respect time. Imagine that.

Ian Gutwinski, CEO, saw it firsthand after years in private equity and investment banking. Around him, a team that actually knows where the bodies are buried in financial workflows: Manasa Grandhi, Director of Operations, tightening execution; Christopher Bailey, Head of Security, making sure trust isn’t a talking point; Natalie Schilling, Head of Private Equity GTM, and Michael Suh, Head of Banking & Credit GTM, pushing Mosaic into the hands of the people who live inside these models; with Claudio Ortiz, Engineering Manager, and Michael Rouse, Engineering Manager, building the engine that makes the whole thing move without breaking.

Now the market is responding. Mosaic just locked in $18M in Series A funding, led by Radical Ventures. That’s not just capital, that’s conviction from a firm that understands AI at a level most people pretend to on panels. And when Radical leans in, the room tends to listen a little closer.

The traction tells its own story without raising its voice. Selected by 5 of the top 10 global private equity firms. Picked up by 2 major investment banks. Thousands of finance professionals already in the mix. Teams reporting up to 20x faster analysis on LBOs and DCFs, and more importantly, zero tolerance for those silent spreadsheet errors that used to sneak through like uninvited guests.

Then there’s Mo Wick, Mosaic’s AI agent, which sounds like a character who doesn’t miss. Send an email, drop a CIM, and get an MD-ready model back in minutes. Not a draft. Not a maybe. A finished product that holds up under pressure. Capital is flowing toward precision, not promises. And in a market where one broken formula can ripple across billions, the edge is going to the teams building systems that don’t blink.