Model ML, an AI-driven workflow automation startup serving deal teams in financial services, has successfully secured $75 million in Series A financing just a year after its launch.
The funding round, led by FT Partners, also attracted investments from Y Combinator, QED, 13Books, Latitude, and LocalGlobe, occurring six months after the company’s initial seed round.
Based in San Francisco, with additional offices in New York and London, Model ML helps deal teams swiftly create pitch decks, investment memos, and diligence reports by offering AI modules that automate client-ready documents in Word, PowerPoint, and Excel, utilizing trusted data in existing formats.
CEO Chaz Englander stated, “High-stakes business relies on documents: pitch decks, diligence summaries, investment memos. Yet many firms still tackle these tasks manually. Analysts frequently spend entire weekends cross-checking data and formatting slides. Despite their efforts, errors can still occur, as it’s nearly impossible to verify every data point in extensive documents. Our agents analyze data sources, automate the necessary code, and generate polished outputs with built-in verification.”
Englander highlighted a recent test where Model ML’s AI was pitted against consultants from McKinsey and Bain to verify real Word and PowerPoint outputs. The consultants took over an hour to finish, while Model ML completed the task in under three minutes and identified more errors.
Guided by a distinguished advisory board that includes former HSBC CEO Noel Quinn and UBS chair Axel Weber, Model ML counts several of the world’s largest investment banks, asset managers, and consulting firms among its clients.
“We’re outlining the future operational framework for modern financial services firms,” stated Weber. “In today’s environment, precision and speed are crucial, while reputation and innovation are imperative. Model ML delivers these capabilities at scale.”