Mosaic Raises $18 Million Series A to Expand AI Deal Modeling Platform

Apr 22, 2026
Mosaic has secured $18 million in Series A funding led by Radical Ventures to expand its AI-powered deal modeling platform for private equity, investment banking, and private credit firms.

Mosaic has raised $18 million in Series A funding led by Radical Ventures, announced in a press release. The company plans to use the funds to expand its product capabilities for private equity workflows and extend into investment banking and private credit markets.

Mosaic builds an operating system for private market investors and advisors by automating deal modeling processes traditionally performed in Excel. The platform combines rules-based calculations with AI to reduce spreadsheet errors and accelerate analyses such as leveraged buyouts and discounted cash flow models.

The company's clients include Warburg Pincus, Bridgepoint, CVC, New Mountain, and Evercore. Mosaic reports that users can complete core deal analyses up to twenty times faster while eliminating linking errors through its modeling engine.

Mosaic's Autopilot feature allows users to create models by emailing its AI agent, which processes supporting documents and returns a ready-to-review model within minutes. The company, currently based in New York with 16 employees, plans to grow its team to more than 40 by the end of 2026, focusing on engineering, product development, customer support, and market expansion.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Finance AI Weekly, Enterprise AI Brief or Daily AI Brief.

Also, consider following us on social media:

AI in Finance Enterprise AI AI Brief AI Brief (X)
Free newsletter

AI Funding Brief

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.