Prevalent AI has stayed profitable and founder-funded for nine years. Now the London company is taking its first outside capital, a $22M growth round from Integrity Growth Partners.
The cybersecurity data firm builds a data fabric that reaches into hundreds of enterprise systems and rebuilds the information as a continuously updated knowledge graph. Customers decide where the underlying data physically sits, which the company calls a sovereign graph.
Founder and CEO Paul Stokes argues large enterprises do not lack tools or data; they lack context. Security teams must make decisions across thousands of systems, controls and identities never designed to work together. One international banking group improved incident detection by more than 80%, and a global insurer cut executive security report time by 95%, the company says.
The rise of AI agents makes the same data problem relevant far beyond security. Gartner expects more than 40% of agentic AI projects to be canceled by 2027, citing cost, thin business value and weak risk controls. Prevalent wants its graph to become the trusted context layer agents reason over.
Annual recurring revenue more than doubled over the past year. The fresh capital funds a formal go-to-market organization, a bigger U.S. presence, and expansion beyond security into financial crime analysis, compliance and operational risk.
Stokes co-founded the company in 2017 with Arun Raj; its advisory ranks include former GCHQ leaders.
