Global: AI Workflow Startup Model ML Secures $75m to Accelerate Automation for Financial Deal Teams

Model ML, a fast-growing AI-driven workflow automation startup serving deal teams in financial services, has raised $75 million in a Series A round—just one year after launching. The raise, led by FT Partners with participation from Y Combinator, QED, 13Books, Latitude and LocalGlobe, comes only six months after the company closed its seed funding.

Headquartered in San Francisco with additional offices in New York and London, Model ML builds AI Modules that automate the creation of key deal documents such as pitch books, investment memos and due-diligence reports. The platform generates fully branded Word, PowerPoint and Excel outputs directly from trusted datasets, preserving exact formats and ensuring accuracy.

Co-founder and CEO Chaz Englander noted that financial dealmaking still relies heavily on labour-intensive document preparation.
“High-stakes business runs on documents—pitch decks, diligence summaries, investment memos—but most firms still build them the hard way,” Englander said. “Analysts spend weekends cross-checking numbers and formatting slides, yet mistakes still happen because it’s impossible to manually verify every data point. Our agents reason across data sources, write the extraction and transformation code, and produce finished outputs with verification built in.”

Englander added that Model ML recently benchmarked its verification agent against consultants from McKinsey and Bain on real document outputs. While the consultants required more than an hour to complete the review, the AI finished in under three minutes—while identifying more errors.

The startup is supported by an advisory board comprising senior global industry leaders, including former HSBC CEO Noel Quinn and UBS chair Axel Weber. Its client base includes several of the world’s largest investment banks, asset managers and consulting firms.

Commenting on the company’s trajectory, Weber said:
“Model ML is creating the blueprint for how modern financial services firms will operate. In today’s world, precision and speed are essential, and reputation and innovation are non-negotiable. Model ML delivers this at scale.”

The fresh investment will support product expansion and deepen the platform’s capabilities as financial institutions continue adopting AI to improve efficiency, reduce manual workload and enhance document reliability.