Prevalent AI raises $22M to boost data context for AI
London-based Prevalent AI has raised $22 million in its first primary funding round to help enterprises feed accurate, unified organizational data to autonomous AI agents.
Prevalent AI secured $22 million in growth capital from Integrity Growth Partners, representing the first primary outside investment for the London-based firm since its founding in 2017. Previously bootstrapped and profitable, the company has doubled its annual recurring revenue over the past year. The new capital will fund its expansion into the United States, grow its leadership team, and scale its technology beyond cybersecurity into broader enterprise risk and artificial intelligence applications.
The company's core offering addresses the fragmented nature of enterprise data, which often resides across hundreds of disconnected systems. Its Security Data Fabric ingests, normalizes, and maps relationships between assets, identities, and vulnerabilities to build a continuously updated knowledge graph. Prevalent AI uses its DataBridge integration layer to connect cloud, on-premises, and SaaS systems, while its DataForge tool generates synchronized synthetic datasets for AI development. Additionally, its Navigator tool allows users to query the knowledge graph using a generative AI interface.
For practitioners deploying autonomous AI agents, this unified data layer is critical. While human operators can often reconcile minor discrepancies in data records, automated agents operating at machine speed require pre-established, highly reliable relationships to make accurate decisions. Prevalent AI's platform operates as a sovereign architecture within the customer's own infrastructure, ensuring sensitive data remains secure and under local control.
Though rooted in cybersecurity and founded by UK intelligence alumni from GCHQ, Prevalent AI is positioning its technology as foundational enterprise infrastructure. Customers are already adapting the data fabric for financial crime analysis, compliance, and operational intelligence. This shift ensures that as enterprises transition from basic copilots to active AI agents, the underlying models have access to a single, trusted source of truth rather than raw, contradictory data.
This is our own summary of reporting by Unite.AI
