What happened: Model ML, an AI startup that automates complex financial workflows, has secured backing from HSBC Asset Management, taking its total funding to US$100 million since launching in 2024.
Why it matters: Banks are moving from AI experiments to AI embedded in the daily workflows of deal teams — and they’re now writing checks to the startups doing it.
October 4, 2026
The bottom line
Model ML has crossed US$100 million in total funding, with HSBC Asset Management’s venture capital arm now on the cap table alongside Financial Technology Partners and QED Investors. The startup sells AI software built specifically for financial services — automating due diligence, financial analysis, and client-ready document creation — and counts four former bank CEOs among its advisors.
What happened
HSBC Asset Management’s flagship venture capital programme invested in Model ML through a co-investment in the high-growth, venture-backed company. The programme sits inside the bank’s US$81 billion Alternatives platform, which selectively backs emerging companies.
Model ML, founded in 2024 by CEO Chaz Englander, builds AI software specifically for financial institutions. Its stated focus is orchestrating multiple AI models across complex financial workflows — due diligence, financial analysis, and the creation of client-ready documents. The company says it already works with asset managers, advisory firms, and leading banks.
Englander’s pitch is blunt: the differentiator is no longer a single model, but the software that can run several models together across real banking workflows.
The heavyweight backing
Model ML’s advisor roster reads like a banking reunion: ex-HSBC CEO Sir Noel Quinn, ex-UBS Chairman Axel Weber, ex-Western Union CEO Hikmet Ersek, and former Julius Baer CEO Philipp Rickenbacher — four former bank CEOs in total. The wider advisory bench includes former investment banking chairs from Barclays, Morgan Stanley, UBS, and Nomura, plus former CPP Investments CEO Mark Machin.
Englander’s take on the moment: “Financial services is moving quickly from experimenting with AI to embedding it into the workflows that underpin how institutions actually operate.” He adds that Model ML was built “specifically for this industry” and is now focused on “reshaping how teams at the world’s leading financial institutions work every day.”
Why it matters
Here’s the Tested Intelligence take: this is the clearest signal yet that the “AI for finance” wave has moved from pilots to procurement. Banks aren’t just testing chatbots anymore — they’re embedding AI into the workflows where their expensive people spend their hours (people costs run about 70% of operating expenses in most businesses, per Flexera’s Chris Andersen). A startup with US$100 million in funding and HSBC’s venture arm on board isn’t a side bet; it’s infrastructure money.
The telling detail is the advisor list. When four former bank CEOs attach their names to a workflow-automation startup, it means the buyer-side door is open. The next 12 months will show whether that access converts into real deployments — or just impressive logos on a slide deck.
FAQ
What does Model ML do?
It builds AI software specifically for financial services, automating complex workflows such as due diligence, financial analysis, and creating client-ready documents.
Who is backing Model ML?
The company has raised US$100 million in total since its 2024 launch. Recent backers include HSBC Asset Management’s venture capital programme, Financial Technology Partners, and QED Investors.
Why are banks investing in AI workflow automation?
Banks are shifting from AI experiments to embedding AI into the daily workflows of their teams, aiming to cut the people-cost burden of manual analysis and document work.
Who is Model ML’s CEO?
Chaz Englander, who co-founded the company in 2024.
Sources: Business Chief, Financial Technology Partners. HSBC Asset Management alternatives platform figures per Business Chief.