Model ML has secured a $75 million Series A financing round, marking one of the most significant early-stage fintech fundraises in history. FT Partners led the round with participation from Y Combinator, QED, Thirteen Books, Latitude, and LocalGlobe. The raise comes only six months after Model ML’s seed round and just one year after its launch, highlighting the rapidly growing enterprise demand for AI-driven workflow automation within financial services.
The New York-based company, founded by brothers Chaz and Arnie Englander, has positioned itself as a key player in enabling banks, investment firms, and consultancies to automate high-stakes documentation processes. Its platform allows financial institutions to generate client-ready Word, PowerPoint, and Excel materials directly from trusted data sources in exact prior formats. This includes pitch decks, diligence reports, research memos, and extensive financial documentation that traditionally require significant manual work across teams.
The company’s technology is already being used by some of the largest global banks, asset managers, consulting firms, and two of the Big Four. Model ML’s agentic systems reason across multiple data sources, write extraction or transformation code, and generate finished, branded documents with built-in verification capabilities, which have emerged as a key differentiator. In recent performance testing, the company’s verification workflow completed a task in under 3 minutes, identifying more errors than consultants from McKinsey and Bain, who took more than 1 hour to review the same materials.
The funding will support Model ML’s global expansion and the buildout of onboarding and customer success teams across major financial hubs in San Francisco, New York, London, and Hong Kong. The company will also expand engineering and infrastructure teams in New York and London to advance its agentic systems and automation modules, supporting scaling and integrations for its enterprise clients.
This significant funding also follows a period of rapid customer adoption. Large investment banks, private equity firms, and global consultants have implemented the platform to streamline document creation and reduce review burdens. Several customers have reported substantial capacity gains, with some Big Four advisory teams citing more than 90% time savings during the review and preparation stages.
Model ML is supported by an advisory board of many financial industry leaders, including former executives from HSBC, UBS, Morgan Stanley, Nomura, Julius Baer, and Barclays. The company’s growth trajectory and investor lineup signal increasing institutional confidence in AI workflow automation as a foundational shift in how financial institutions operate.
KEY QUOTES:
“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. 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.”
Chaz Englander, CEO of Model ML
“Model ML is setting a new standard for how financial institutions leverage AI to achieve superior client results. 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.”
Steve McLaughlin, Founder and CEO of FT Partners
“High stakes business runs on documents: pitch decks, diligence summaries, investment memos. But most firms still build them the hard way. 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 one hundred page deliverable. That is why we built Model ML. Our agents reason across data sources, write the code to extract and transform what is needed, and generate finished, branded outputs with verification built in. We are eliminating the grunt work so teams can focus on the analysis that actually matters.”
Chaz Englander, CEO of Model ML
“Model ML is creating the blueprint for how modern financial services firms will operate. In today’s world, precision and speed are essential, reputation and innovation are a must. Model ML delivers this at scale.”
Axel A. Weber, Former Chairman of UBS
“Model ML is creating something remarkable that will transform financial services entirely. By seamlessly integrating an intuitive, user friendly interface with cutting edge AI, Model ML is empowering financial professionals to work smarter, extract deeper insights, and enhance efficiency.”
Noel Quinn, Former Group CEO at HSBC
“Model ML has moved faster than almost any company we have seen. Their acute product–market fit, relentless product focus, and genuine care for their customers are setting them apart. They are consistently pushing the boundaries of what is possible with LLMs and showing the world what AI in financial services can truly look like.”
Colin Evans, OpenAI
“Model ML has been a bit of a game changer for us. From automating monthly portfolio reporting updates to generating initial drafts of our investment memos, it has streamlined critical processes across the team. By removing much of the manual, repetitive work, it has freed our teams to dedicate more time to value added analysis, sharper investment insights, and driving stronger outcomes across our portfolio.”
Fiona Satchell, Senior Managing Director, Three Hills Capital
“Model ML is generating a lot of excitement in our team. Over my twenty five year career, I have seen teams spend hours on repetitive tasks and fixing errors in client deliverable decks. Model ML is enabling us to dramatically reduce the level of effort required to check deliverables, helping save much needed time for our teams. Beyond the product, their flexible approach to developing a solution that works for us makes them incredibly easy to work with.”
“We have been blown away by Model ML’s capabilities and their team. Their AI modules have not only freed up over ninety percent capacity during review and prep stages for our teams, but they have also demonstrated how they can achieve the same outputs with higher accuracy than if we performed the workflows manually. We know this is a crowded space, and we spent months doing our due diligence. We are confident Model ML is the right team for our needs.”
Big 4, Deal Advisory
