Model ML Raises €65 M Its AI Beats McKinsey And Bain Benchmarks With Under-3-minute Output Checks

The round was led by FT Partners, with participation from Y Combinator, QED, 13Books, Latitude, and LocalGlobe. This follows just six months after its Seed round and twelve months post-launch.

“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,” says 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 show how AI can redefine the entire financial advisory workflow,” he adds.

In 2025, Europe has seen strong funding activity in AI-driven workflow and financial-services automation, complementing Model ML’s Series A. Ireland’s Tines raised €120.7M to scale its AI platform, Lithuania’s Nexos.ai secured €30M for enterprise AI adoption, Denmark’s Light €25M for an AI-native finance system, France’s Finary €25M, Switzerland’s Allasso €2.5M and Sweden’s Grasp €6M to expand productivity tools for analysts and consultants.

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Together, these rounds account for approximately €209 million invested in related areas of financial-sector automation in 2025.

Within this context, Model ML is the only UK-based company delivering AI-generated, client-ready outputs for investment banks and asset managers, highlighting its role in Europe’s broader 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” says 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 serial entrepreneurs Chaz and Arnie Englander, Model ML helps financial teams automate client-ready Word, PowerPoint, and Excel outputs directly from trusted data in precise prior formats.

High-stakes deliverables like pitch decks, investment memos and diligence reports are traditionally slow and manual, with deal teams spending excessive time formatting and reconciling inconsistencies. Model ML bridges this gap.

Its AI agent workflows go beyond simple data retrieval, interpreting schemas, reasoning across multiple sources, generating code to transform data, and producing polished, branded outputs with built-in verification.

In tests, Model ML completed tasks in under three minutes 20 times faster than McKinsey and Bain consultants while catching more errors, demonstrating its efficiency in producing accurate, high-stakes deliverables.

“High-stakes business runs on documents; pitch decks, diligence summaries, investment memos. But most firms still build them the hard way,” says Chaz Englander. “Analysts spend entire weekends cross-checking numbers and formatting slides. Despite all that effort mistakes still slip through because 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 needed, 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 under a year, Model ML has expanded its customer base to include investment banks, asset managers, and consulting firms such as UBS, HSBC, OpenAI, the Big 4, and Three Hills Capital.

“Model ML has moved faster 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 showing the world what AI in financial services can truly look like.”

The new funding will support Model ML’s global expansion and enhance its AI capabilities across major financial hubs.

The company plans to establish dedicated onboarding and customer success teams in San Francisco, New York, London, and Hong Kong, while scaling AI engineering and infrastructure teams in New York and London to advance its proprietary agentic systems and workflow automation modules.

“Model ML is creating the blueprint for how modern financial services firms will operate,” said 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.”

About Model ML

Model ML creates AI-powered digital teammates for finance, automating workflows and delivering client-ready outputs. Its advanced agentic systems integrate across multiple data sources and applications, enabling seamless analysis, faster decision-making and efficient, error-free production of high-stakes financial deliverables.