HelmGuard Raises $7.3 Million to Automate Corporate Risk Checks With AI

Key points

• HelmGuard, founded in 2024 and based in the UK, raised $7.3 million in seed funding announced today.
• The round was co-led by Infinity Ventures and Frontline, with FinTech Collective, Stage 2 Capital, and Entrepreneurs First also contributing.
• The company was founded by former Palantir executive John Daley (CEO) and Jack Miller (CTO).
• HelmGuard's platform uses AI agents (software programs that work independently, without a human clicking through each step) to gather and judge risk information across a company's systems.
• The startup argues that traditional compliance tools document processes but never actually help anyone make a decision about risk.

Compliance work is famously boring and famously expensive. Every year, organisations pay teams of people to gather spreadsheets, chase down certificates, and compare what a vendor promised against what it actually delivers. HelmGuard, a startup out of the UK, says it has built software that does most of that gathering and comparing automatically.

What does HelmGuard actually do?

It replaces manual data collection with AI agents, which are software programs that run on their own, pulling information from a company's existing systems and producing a single summary of where the risks are.

The practical pitch: instead of a compliance review taking weeks, the platform targets a turnaround of hours. It connects to a company's documentation, unstructured data (think email threads, PDFs, policy documents), and operational systems, then synthesises everything into one view.

CEO John Daley, who previously worked at data-analytics firm Palantir, put the problem bluntly: "Most compliance platforms were built to document a process, not to reach a conclusion. Now they're using AI to produce those documents faster, which doesn't help anyone decide anything."

HelmGuard is also pitching something more specific. As more software vendors quietly bake AI features into their products, the risk assessments companies ran at the point of purchase quickly go out of date. The platform claims its agents continuously check against what is actually running today, not what a vendor said it would do at contract signing.

Who put up the money?

Infinity Ventures and Frontline co-led the seed round, with FinTech Collective, Stage 2 Capital, and Entrepreneurs First also participating. The $7.3 million total is a seed round, meaning early-stage funding given to a company still proving its model.

The company was founded in 2024, which makes this a notably quick fundraise for a business less than two years old.

Why should ordinary people care?

Most people will never log into a compliance platform. But they work for organisations that do, or they do business with companies that are supposed to keep sensitive data safe.

When compliance reviews are slow or patchy, risks slip through unnoticed. A vendor with a new, untested AI feature inside its software might carry data-handling risks that nobody caught because the last assessment was two years ago. Faster, more continuous checks reduce the window in which those gaps go unaddressed.

Daley says the fresh capital will let the team reach more organisations and extend the platform to governing AI agents that companies are now deploying inside their own workflows, a problem that barely existed three years ago and is already keeping compliance teams up at night.