UK enterprise data company Prevalent AI has secured a $22m (roughly £16m) growth investment from Los Angeles-based Integrity Growth Partners — the first new money onto its balance sheet since the business was founded in 2017.
Prevalent AI was set up nine years ago by Paul Stokes and Arun Raj after the pair sold an earlier cybersecurity venture. The founding group carried unusually heavy signals-intelligence pedigree: Sir Iain Lobban, director of GCHQ from 2008 to 2014, sat on the board, while co-founder Andrew France left GCHQ's cyber defence operations to run Darktrace, the company Thoma Bravo took private for $5.3bn in 2024 after its 2021 London listing.
The company now employs around 200 people and sells to banks, telecoms operators and insurers, typically organisations with more than 5,000 staff and in some cases upwards of 100,000.
The distinguishing feature of the deal is what came before it. Stokes declined outside financing for nine consecutive years, funding the product from enterprise revenue rather than venture cycles. The only prior movement on the cap table came in 2021, when Istari — part of Singapore's Temasek — bought a minority stake. That was a secondary transaction and put no fresh capital into the company.
Terms of the Integrity Growth Partners investment, including post-money valuation and the size of the stake acquired, were not disclosed.
Stokes told Tech Funding News that raising earlier would have meant raising at the wrong moment, before the market recognised what enterprises actually needed. Ryan Anderson, managing partner and co-founder of Integrity Growth Partners, pointed to the same discipline, describing the technology as genuinely differentiated and the team's handling of capital as unusual.
The product is what Prevalent AI calls a sovereign knowledge graph: a continuously updated, deduplicated map that pulls data from hundreds of internal tools, security platforms, cloud logs and identity systems, built and hosted under the customer's own control rather than on shared third-party infrastructure. The graph is constructed deterministically rather than with large language models, which the company argues prevents the drift and inference errors that would undermine its use as a system of record.
The new capital will fund sales, marketing, customer success and partnership operations, accelerate expansion in the United States, strengthen the leadership team and extend the knowledge graph beyond cybersecurity into financial crime and wider enterprise risk.
Revenue has roughly doubled annually, though Stokes concedes that pace becomes harder to sustain at scale. Gartner forecasts enterprise information security spending of $240bn in 2026, and expects more than 40% of agentic AI projects to be cancelled by the end of 2027 on cost, unclear value and weak risk controls — the gap Prevalent AI is positioning against.
Original source: Tech Funding News
