$22m · Growth/Late · Software · London, UK
Prevalent AI, a London enterprise-data software company, has raised $22m in growth investment from Integrity Growth Partners. The company announcement says this is the first primary capital in its nine-year history. The funding will expand sales, marketing, customer success and partnerships, accelerate US expansion, strengthen the leadership team and extend the platform beyond cybersecurity into wider enterprise-risk applications.
Prevalent AI connects data from security tools, cloud services, SaaS applications and legacy systems, normalises it against a common model and resolves duplicate records into a continuously updated knowledge graph. That gives security teams and AI agents a shared view of assets, identities, controls, applications and their relationships. Founder Paul Stokes says customers can deploy the platform in private cloud or on-premises environments, keeping operational data under their control, while Prevalent AI combines the software with managed services and embedded solution architects.
Context is the product, not another security signal
Large enterprises already collect extensive security and operational data; the commercial problem is that different systems describe the same environment inconsistently. Prevalent AI's proposition is to reconcile those records before analysts or AI agents act on them. The company says one insurer cut executive-security reporting time by 95% and an international bank improved incident detection by more than 80%, results that remain company-reported rather than independently audited.
That reconciliation layer can support more than a single security workflow. Once customers have a current map of systems, ownership and dependencies, the same foundation can be applied to exposure management, financial-crime analysis, compliance and operational intelligence. The expansion logic is therefore account depth: a costly initial integration can become more valuable as additional teams reuse the same context, provided the data model stays accurate and the managed-service burden does not grow linearly.
First primary capital changes the scaling problem
Prevalent AI says it has been profitable since its first customer and that annual recurring revenue more than doubled in the twelve months before the round. It also says its customers include global banks, telecoms, insurers and critical-infrastructure operators. Those claims explain why IGP is backing commercial expansion rather than product-market discovery: the company is adding a formal go-to-market organisation after years of founder-led, customer-funded growth.
The execution test is whether a "build with" model developed through multi-year enterprise relationships can be made repeatable. US growth requires sales capacity, but also integrations, deployment expertise and customer trust in data sovereignty. The new capital matters because it can fund that commercial and delivery infrastructure together; adding sales without preserving implementation quality would weaken the very operating model that made the platform useful to regulated buyers.
