HelmGuard, a London-headquartered agentic governance, risk and compliance platform, has closed a $7.3m seed round to accelerate its push into automated risk assurance.
The raise was co-led by Infinity Ventures and Frontline, with additional backing from FinTech Collective, Stage 2 Capital and Entrepreneurs First. HelmGuard’s core offering deploys AI agents that pull risk signals straight from source systems, compressing assessment timelines that once took weeks down to a matter of hours.
The fresh capital will fund HelmGuard’s growing footprint in the US, adding New York and San Francisco bases to sit alongside its London headquarters. Additional hiring is planned across both engineering and go-to-market teams, alongside further build-out of an agent assurance layer designed to monitor how AI agents behave once deployed in live environments.
HelmGuard was built to address a gap in legacy GRC tools, which the company argues remain tied to documentation, questionnaires and checklists rather than helping firms make operational judgement calls.
Even as rival platforms adopt AI to speed up paperwork, HelmGuard contends they still cannot tell a business whether a control actually mitigates a given risk, whether a third-party vendor can be trusted, or whether an autonomous agent is operating correctly.
Instead, HelmGuard consolidates scattered risk, security and compliance data, drawing on both unstructured documentation and live connections to source systems, into one unified network.
Purpose-built AI agents then run workflows spanning third-party risk management, agent oversight and control gap analysis, rolling the output into a single company-wide risk picture, backed by citations and audit trails intended to withstand scrutiny from regulators and auditors alike.
Supporting research from EY cited in the announcement found that a third of firms view third-party and supply chain risk as a leading threat, with 41% of that group lacking confidence in their compliance function’s capacity to manage it.
HelmGuard notes that vendors are increasingly folding agentic features into products that were originally assessed before AI capabilities existed, leaving prior risk sign-offs out of date. Existing HelmGuard customers span the US, Canada, UK, Hong Kong and South Africa.
One insurance client had 1,250 counterparties assessed in under a week, prompting a full platform migration completed in ten days, while a telehealth and telecoms customer cut its assurance response time from days to minutes.
HelmGuard is also working with scale-ups such as London-based Callosum to build compliance programmes from the ground up. Central to this is HelmGuard’s Verified Risk Network, which lets organisations exchange live, agent-verified answers instead of static certification documents.
HelmGuard co-founder and CEO John Daley said, “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 that burns thousands of hours annually. This funding lets us bring that capability to far more teams and extend it to governing the AI agents being deployed on other workflows.”
HelmGuard co-founder and CTO Jack Miller said, “An AI vendor’s risk profile changes with every model update and every new tool its agents can call. As a result, a certification issued months ago describes a reality that our customers cannot rely upon. Regulated buyers need to ask a current question and get a verified current answer, while vendors don’t want to be bogged down re-answering stale questionnaires.
“The Verified Risk Network makes the unit of assurance a claim assessed directly by an agent, rather than a document, and enables agent-to-agent exchange on a continuous basis.”
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