Model ML, the leading global AI workflow automation platform for financial services, today announced a £57 million Series A financing led by FT Partners, the global leader in FinTech investment banking. The round also includes significant participation from Y Combinator, QED, 13Books, Latitude and LocalGlobe, and comes just six months after the company's seed raise, led by LocalGlobe, and only twelve months after its launch.
Founded by brothers and repeat entrepreneurs Chaz and Arnie Englander, Model ML enables financial teams to build AI workflows that automate client-ready Word, PowerPoint, and Excel outputs directly from trusted data, in exact prior formats. This capability is applicable across entire organisations, driving group-wide deployments. It is now in use at several of the world's largest banks, asset managers and consultancies, including two of the Big Four accounting firms.
High-stakes deliverables like pitch decks, investment memos, and diligence reports are still built through slow, manual processes that strain teams and stall business momentum. Entire deal teams across all levels of seniority lose time formatting outputs and chasing down inconsistencies across Word, Excel, and PowerPoint. These inefficiencies introduce reputational risk and slow decisions.
That's the gap Model ML is built to close. Model ML's agent workflows go far beyond simple data retrieval and chat interface flows. They interpret schemas, reason across multiple sources, write the code needed to extract or transform data, and generate finished, branded outputs with verification built in.
Model ML's verification capabilities are a big differentiator. The company recently ran a verification workflow, testing the AI against consultants from McKinsey and Bain on real Word and PowerPoint outputs. The consultants took over an hour to complete the task. Model ML did it in under three minutes and still caught more errors. In other words, it wasn't just 20x faster; it was more accurate.
In less than a year, Model ML has grown its customer base to include several of the largest investment banks, asset managers, and consultants in the world.
This new financing will be used to accelerate global expansion and deepen AI capabilities across key financial hubs. The company will build out dedicated onboarding and customer success teams in San Francisco, New York, London, and Hong Kong to support rapid enterprise adoption.
In parallel, Model ML will scale its AI engineering and infrastructure teams in New York and London, focusing on advancing its proprietary agentic systems and workflow automation modules. These investments will ensure seamless deployment, integration, and scaling for the firm's growing roster of global banking, private equity, and consulting clients.
