HelmGuard raises $7.3m to replace compliance paperwork with AI agents
HelmGuard raises $7.3m to replace compliance paperwork with AI agents
摘要: Investors and funding
HelmGuard raises $7.3m to replace compliance paperwork with AI agents
London startup HelmGuard has raised $7.3m in a seed roun
正文
Investors and funding
HelmGuard raises $7.3m to replace compliance paperwork with AI agents
London startup HelmGuard has raised $7.3m in a seed round co-led by Infinity Ventures and Frontline. Its AI agents collect risk data directly from company systems instead of relying on questionnaires. The money will fund US expansion, hiring and a layer that checks how AI agents behave.
September 11, 2026 - 10:45 am
HelmGuard co-founders John Daley (left) and Jack Miller.
Credit: HelmGuard
London startup HelmGuard has raised $7.3m in seed funding. It uses AI agents to check how companies manage security and compliance. Infinity Ventures and Frontline co-led the round, the company said in its
funding announcement
on 9 September. FinTech Collective, Stage 2 Capital and Entrepreneurs First also invested.
John Daley, the chief executive, and Jack Miller, the chief technology officer, co-founded the company. Daley spent eight years as an executive at Palantir, according to HelmGuard. The round was covered by Tamara Djurickovic for
Tech.eu
, and Sofia Chesnokova interviewed both founders for
Tech Funding News
.
What HelmGuard does
HelmGuard works in governance, risk and compliance, known as GRC. Its platform pulls risk, security and compliance data from company documents and directly from source systems into one connected network. Specialised AI agents then run the work. That includes third-party risk management, control gap assessments and checks on other AI agents. The company says the system shows citations and reasoning traces. Humans stay in the loop, so teams can report to auditors and regulators.
Daley set out the pitch in the announcement.
“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. Our agents go to the source to collect and assess risk signals directly, abstracting away the manual data collection and assessment work