Mosaic raises $18M Series A to expand AI deal modeling platform across private markets

Mosaic raised $18 million in Series A funding led by Radical Ventures to expand its AI-driven deal modeling platform across private equity workflows and into investment banking and private credit. The platform automates analyses historically built and maintained in Excel by combining rule-based calculations with AI-powered document ingestion and agent workflows, enabling deal teams to complete leveraged buyouts and discounted cash flow models up to 20 times faster while eliminating spreadsheet errors.

Five of the top ten global private equity firms adopted Mosaic in 2025, including Warburg Pincus, Bridgepoint, CVC, New Mountain, and Evercore, and two major investment banks selected the platform to model and analyze client transactions. Mosaic's core feature, Autopilot, allows users to email an AI agent named "Mo" with deal details and supporting documents; the agent applies firm-specific defaults and returns an audit-ready model within five minutes. Unlike probabilistic Excel copilots, Mosaic produces deterministic outputs stored in client-specific centralized databases, enabling standardized workflows and longitudinal analysis of deal data.

Mosaic will expand engineering, product, customer enablement, and sales teams, growing from 16 employees toward a target of 40 by the end of 2026. Radical Ventures partner Ryan Shannon, formerly an associate at TPG, joined the board, alongside Ontra.ai founder Troy Pospisil. John Megrue, vice chairman of Radical Ventures and former CEO of Apax, will advise the company and noted that "Mosaic is a rare exception" among AI tools in financial services that deliver real value by deeply understanding the needs of top investment banks, private equity funds, and private credit funds. For operations teams, Mosaic standardizes processes, reduces manual repetitive modeling work, and creates institutional memory to support more consistent decision-making.

(Source：Complete Ai Training)