AI Score debuts governance platform with national security advisers and £761k pre-seed
This article covers AI Score, a London-based startup built inside the GALLOS Technologies venture studio, which has emerged from stealth with $1m in pre-seed funding and a platform designed to give businesses centralised visibility and control over their AI systems. It aims to support security, risk and compliance teams by providing continuous governance, compliance monitoring, performance analytics and risk scoring for enterprise AI deployments.
AI Score, a London-based startup built inside the GALLOS Technologies venture studio, has emerged from stealth with more than £761,000 ($1m) in pre-seed funding and a platform designed to give businesses centralised visibility and control over their AI systems. The debut matters because organisations are adopting AI fast while struggling to govern it, and AI Score is positioning itself as a single control layer for compliance, performance and risk across enterprise AI deployments.
Why it matters
Enterprises are increasingly embedding AI into customer-facing services, financial products and legal workflows, but oversight remains fragmented. The company cites survey figures that 70% of chief security and risk officers now view securing and governing AI as a top priority, and that 80% report difficulty observing and governing AI use across their organisations. Those gaps create regulatory, operational and reputational exposure as UK and European policymakers turn their attention to AI governance.
AI Score aims to address that operational gap by giving security, risk and compliance teams a continuous view of how models are used, where they create value and where they create risk.
Inside the product
AI Score describes its offering as a centralised governance and management platform that combines visibility, compliance monitoring, performance analytics and risk management. The product claims to provide real-time signals into AI usage patterns and returns these signals as an auditable system of record for AI — intended to support both innovation and oversight at pace.
Core capabilities highlighted include:
- Cross-enterprise visibility into AI usage
- Compliance monitoring aligned to internal controls
- Performance analytics to show where AI delivers value
- Risk scoring and reporting for faster decision making
The company says early customers span financial services, legal and consumer sectors — including a magic-circle law firm (relevance: regulatory and confidentiality risk), a major consumer brand (relevance: brand and customer-facing model risk) and an AI-enabled fintech (relevance: regulated financial products and fraud/risk exposure). These pilot engagements are presented as validation that measurable governance and performance insight are in demand.
Who’s backing the round
AI Score was developed inside the GALLOS Technologies venture studio and has raised over £761,000 ($1m) in pre-seed funding. GALLOS, which describes itself as an early-stage company builder focused on security, defence and resilience technologies, is closely involved: its co-founder Josh Burch sits on AI Score’s advisory board, and the wider advisory group includes former national security and legal figures such as Sir Jeremy Fleming, Colin Bell and Jonathan Kewley.
The involvement of GALLOS and advisory members with backgrounds in national security, banking and global tech law underlines the startup’s emphasis on security and regulatory readiness rather than solely product features. AI Score’s advisory board and studio ties could help with customer introductions in regulated industries and credibility on governance issues, though the company has not disclosed additional external investor names beyond the studio association and the stated pre-seed total.
In the announcement, Josh Burch, Co-Founder and Managing Partner at GALLOS Technologies, and member of the AI Score Advisory Board, said:
We’ve seen, through our experience in intelligence and business, the dangers as well as the opportunities inherent in how organisations use AI. Large parts of the corporate world haven’t yet absorbed the risks they’re running. We’re really proud of what the AI Score team has achieved so far, and how they’ve grown already. Co-founders Alex Harland and Benita Tibb have built a product that will transform the way companies look at their AI governance, by allowing them to view their governance and performance analytics in one space. With the full backing of the GALLOS team and advisory board, we look forward to helping AI Score continue to grow.
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Founder perspective
AI Score was founded by Alex Harland (Co-Founder and CEO) and Benita Tibb (Co-Founder). The team is presented as having experience across cyber security, AI, national security and global law, reinforced by the advisory board membership.
In the announcement, Alex Harland, Co-Founder and CEO of AI Score, said:
We stand at the precipice of a new age where an organisation’s very existence will depend on how successfully it can innovate with AI. For leaders, their ability to navigate the intersection of safety, security, and innovation will determine whether their organisations thrive or fall behind. The traditional way of doing governance simply isn’t enough. That’s why, at AI Score, we’re reinventing governance for the AI Age. We power leaders and organisations with the intelligence and precision they need to drive AI innovation — doing it securely, responsibly, and with maximum impact.
The quote frames the company’s mission: to balance innovation velocity with the controls required by risk and compliance functions.
The bigger picture
AI Score’s launch arrives as UK and European conversations about AI safety, oversight and regulation intensify. Startups that can demonstrate practical governance tooling for regulated sectors may find a receptive market if they can show measurable outcomes: fewer incidents, faster compliance reporting and clearer links between AI investments and business value.
For investors and customers, the combination of a venture-studio build, national security-linked advisors and early pilots in law, consumer and fintech sectors will be watched closely. If AI Score can turn early proofs of concept into repeatable deployments and measurable risk reduction, it will be another example of a UK startup positioning itself at the intersection of security and commercial AI adoption.
This story sits within a broader European push to operationalise AI oversight: tools that convert model telemetry into governance actions are likely to be in demand as firms prepare for tighter regulation and increased scrutiny from boards and regulators.
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