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

Mosaic raised $18M in Series A funding to automate deal modeling for private equity firms. Five of the top ten global PE firms adopted the platform in 2025, including Warburg Pincus and CVC.

Categorized in: AI News Operations
Published on: Apr 22, 2026
Mosaic raises $18M Series A to expand AI deal modeling platform across private markets

Mosaic Raises $18M to Automate Deal Modeling for Private Markets

Mosaic, an AI-driven deal modeling platform, raised $18 million in Series A funding led by Radical Ventures. The company will use the capital to expand its product across private equity workflows and move into investment banking and private credit.

The platform automates analyses that investment teams have historically built and maintained in Excel. Mosaic combines rule-based calculations with AI-powered document ingestion and agent workflows, helping deal teams complete analyses like leveraged buyouts and discounted cash flow models up to 20 times faster while eliminating spreadsheet errors.

Who's Using It

Five of the top ten global private equity firms adopted Mosaic in 2025. Current customers include Warburg Pincus, Bridgepoint, CVC, New Mountain, and Evercore. Two major investment banks also selected the platform to model and analyze transactions for clients.

How It Works

Mosaic's core feature, called Autopilot, lets users send an email to an AI agent named "Mo" with deal details and supporting documents. The agent applies firm-specific defaults and returns a model ready for management review within five minutes.

Unlike Excel copilots that use probabilistic approaches, Mosaic produces deterministic, audit-ready outputs. Models are stored in a centralized database specific to each client, allowing firms to standardize workflows and analyze their own deal data over time.

Ian Gutwinski, Mosaic's founder and CEO, said the platform lets investors and bankers "spend less time linking and more time thinking." He noted that thousands of hours spent rebuilding spreadsheet templates for each deal do nothing to improve investment outcomes.

Expansion Plans

Mosaic will hire across engineering, product, customer enablement, and sales. The company has 16 employees and expects to reach 40 by the end of 2026.

Ryan Shannon, a partner at Radical Ventures who previously spent hundreds of hours updating deal models as an associate at TPG, joined Mosaic's board. Troy Pospisil, founder of legal tech company Ontra.ai and an early Mosaic investor, also joined the board. John Megrue, vice chairman of Radical Ventures and former CEO of Apax, will advise the company.

Megrue said most AI tools in financial services overpromise and underdeliver. "Mosaic is a rare exception," he said, "of a team that deeply understands what the top investment banks, private equity funds, and private credit funds need, and is one of the few products actually delivering value today."

For Operations Teams

For operations managers overseeing deal workflows, Mosaic's approach addresses a core challenge: reducing manual work on repetitive modeling tasks. The platform's AI agents and automation capabilities let teams standardize processes across deals and firms, creating institutional memory and more consistent decision-making.

Understanding how deterministic AI systems differ from probabilistic ones-and when each applies-is increasingly relevant for operations professionals managing financial workflows. The AI Learning Path for Operations Managers covers process optimization and workflow automation principles that apply directly to these kinds of operational improvements.


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