Model ML Raises $75M to Advance AI Automation for Investment Banking Workflows
NEW YORK, Nov. 24, 2025 — Model ML, the global AI workflow automation company for financial services, announced that it has raised $75 million in new funding to advance its proprietary technologies designed to automate routine, high-effort tasks traditionally performed by junior investment bankers. These include the preparation of pitch decks, investment memos, and detailed due-diligence deliverables.
The round was led by FT Partners, with additional participation from leading investors including Y Combinator, QED Investors, 13Books Capital, and LocalGlobe, according to Bloomberg. This funding comes just months after Model ML’s earlier $12 million raise and only one year after the company’s launch in London and New York. The company has not disclosed its valuation in either round.
Model ML’s CEO, Chaz Englander, said that the company’s generative-AI solutions are designed to drastically reduce the time investment bankers spend on labor-intensive tasks. The platform enables private equity professionals to generate first-draft investment committee memos directly from email inputs—replacing hours of manual review across presentations and private-company databases.
The company has also assembled a high-profile advisory board featuring prominent industry names such as Noel Quinn, former CEO of HSBC, and Axel Weber, former Chairman of UBS. This advisory strength has helped Model ML secure customers across Wall Street and major global consulting firms.
Model ML currently employs 45 people and plans to use the newly secured capital to expand its teams across San Francisco, New York, London, and Hong Kong, while hiring additional AI engineers to accelerate product development. Although founded in the U.S., the company’s engineering team has shifted to London’s King’s Cross, home to major tech hubs including Google, DeepMind, and Meta, in pursuit of top-tier talent and optimized operating costs.
This investment arrives amid an intensifying global funding race in Artificial Intelligence, despite ongoing investor concerns regarding short-term returns. While market volatility persists, venture capital continues to flow into AI-driven innovation. Model ML aims to solidify its position as a leading force in the sector by delivering automation solutions that streamline the most time-consuming workflows in investment banking and financial advisory.
