“We’re thrilled to announce this round with such an exceptional group of investors as we continue our mission to transform how financial institutions work. This financing enables us to accelerate global expansion and advance our AI capabilities across key financial hubs as we scale to meet rapidly growing enterprise demand,” states Chaz Englander, CEO of Model ML.
“We couldn’t imagine a better strategic partner for us than FT Partners – Steve McLaughlin and his team have long been pioneers in leveraging data and technology in investment banking, and our tight collaboration will reveal how AI can redefine the entire financial advisory workflow,” he adds.
In 2025, funding activity in AI-driven workflow and financial-services automation has been strong across Europe, with several relevant rounds complementing Model ML’s Series A.
Ireland’s Tines secured €120.7 million to scale its AI workflow platform, Lithuania’s Nexos.ai raised €30 million to support enterprise AI adoption, and Denmark’s Light landed €25 million to build an AI-native finance system. Meanwhile, France’s Finary obtained €25 million for its wealth-management platform, Switzerland’s Allasso raised €2.5 million for AI-ready analytics in options trading, and Sweden’s Grasp secured €6 million to expand productivity tools for analysts and consultants.
These rounds collectively represent roughly €209 million flowing into adjacent areas of financial-sector automation this year.
Within this landscape, Model ML stands out as the only UK-based company operating specifically in AI-generated, client-ready deliverables for investment banks and asset-management teams, positioning its latest round within a wider European shift toward automating high-stakes financial workflows.
“Model ML is setting a new standard for how financial institutions leverage AI to achieve superior client results,” states Steve McLaughlin, Founder & CEO of FT Partners. “While we expect significant efficiency gains, the true power of Model ML lies in the insights it will unlock for our clients, investors, and the broader FinTech ecosystem. We believe Model ML will fuel the next evolution of world-class service for our clients and transparency across all stakeholders in transactions.”
Founded in 2023 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.
The company explains that 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.
That’s the gap Model ML is built to close.
Model ML’s agent workflows reportedly go beyond simple data retrieval and chat interface flows. They interpret schemas, reason across multiple sources, write the code necessaryed to extract or transform data, and generate finished, branded outputs – long PowerPoint decks, research reports, investment memos – with verification built in.
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 tinquire. Model ML allegedly did it in under three minutes and still caught more errors – 20x times rapider.
“High-stakes business runs on documents; pitch decks, diligence summaries, investment memos. But most firms still build them the hard way,” states Chaz Englander. “Analysts spconclude entire weekconcludes cross-checking numbers and formatting slides. Despite all that effort, mistakes still slip through becautilize no one can realistically verify every data point in a 100-page deliverable. That’s why we built Model ML.
“Our agents reason across data sources, write the code to extract and transform what’s necessaryed, and generate finished, branded outputs with verification built in. We’re eliminating the grunt work so teams can focus on the analysis that actually matters.“
In less than a year, Model ML has grown its customer base to include investment banks, asset managers, and consultants, including: UBS, HSBC, OpenAI, Big 4, and Three Hills Capital.
“Model ML has relocated rapider than almost any company we’ve seen,” Colin Evans, OpenAI “Their acute product–market fit, relentless product focus, and genuine care for their customers are setting them apart. They’re consistently pushing the boundaries of what’s possible with LLMs – and revealing the world what AI in financial services can truly view like.”
This new financing will be utilized 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.
In parallel, Model ML will scale its AI engineering and infrastructure teams in New York and London, focutilizing on advancing its proprietary agentic systems and workflow automation modules.
“Model ML is creating the blueprint for how modern financial services firms will operate,” stated Axel A. Weber, Former Chairman, UBS. “In today’s world, precision and speed are essential, reputation and innovation are a must. Model ML delivers this at scale.”
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