Radical Ventures leads financing to expand Mosaic’s deterministic deal modeling platform across investing workflows and asset classes
NEW YORK – Mosaic, the AI-driven deal modeling platform built for private markets, announced it has raised an $18 million Series A led by Radical Ventures. Mosaic will use the new funding to deepen product capabilities across private equity workflows and accelerate expansion into adjacent markets including investment banking and private credit.
Mosaic is building the operating system for the world’s most sophisticated investors and their advisors by automating the deal modeling analyses historically built and maintained manually in Excel. Mosaic combines deterministic, rules-based calculations with AI-driven ingestion and agentic workflows to help deal teams move faster, reduce spreadsheet errors, and focus on applying investment judgment rather than performing mechanical tasks.
Today, Mosaic is used by leading private market institutions including Warburg Pincus, Bridgepoint, CVC, New Mountain, and Evercore. Customers report up to 20x faster completion of core deal analyses such as LBOs and DCFs while completely eliminating spreadsheet “mis-link” errors through Mosaic’s rules-based modeling engine.
In 2025, Mosaic was selected by five of the top ten global private equity firms as their AI-driven deal modeling platform of choice, and by two of the world’s most prolific investment banks to reimagine how they model and analyze transactions for clients.
“Before Mosaic, thousands of investors (myself included) spent hundreds of hours iterating on generic spreadsheet templates to rebuild and refine the same calculation scaffolding for each new investment opportunity,” said Ian Gutwinski, Founder & CEO of Mosaic. “Yet all those hours do nothing to improve investment outcomes. We built Mosaic so investors and bankers can spend less time linking and more time thinking. Our platform gives users the speed of automation and the reliability of deterministic calculations, so they can trust the analysis every time.”
Unlike Excel copilots and other probabilistic approaches, Mosaic’s modeling engine is designed to produce replicable, audit-ready outputs that teams can standardize across workflows, creating a foundation for institutional memory and better decision-making over time. As all models are created and stored in a centralized, standardized database siloed to each client, firms can increasingly analyze underwriting patterns across their proprietary deal data and benchmark assumptions against actual outcomes.
Mosaic Autopilot: Agentic Modeling From a Single Email
Mosaic’s flagship agentic AI feature, Mosaic Autopilot, enables users to kick off model creation via an emailed prompt to Mosaic’s agent, “Mo,” who ingests supporting documents (including CIMs), applies firm-specific defaults, and generates an “MD-ready” model in an email reply within 5 minutes.
“When I worked in Investment Banking and Private Equity, I was always shocked at how much time some of the most expensive talent in the world spent trying to fix broken models with sheer brute force” Â said Ryan Shannon, Partner at Radical Ventures, who himself used to spend hundreds of hours updating deal models as an Associate at Private Equity giant TPG. “With Mosaic, that same expensive talent can instead spend their time thinking about the crucial decisions that separate good investments from great ones.”
