Prevalent AI, an AI-powered enterprise context specialist, that turns fragmented corporate data into a continuously updated knowledge graph, has landed its first ever piece of external growth capital, a $22m investment.
The cheque marks the first primary capital Prevalent AI has raised in its nine year history, having until now grown purely on the back of customer demand while remaining profitable since it signed its very first client.
IGP’s backing will fund a formal global go to market function spanning sales, marketing, customer success and partnerships, alongside a deeper push into existing markets, faster expansion into the US, and an extension of the company’s knowledge graph technology beyond cybersecurity into wider enterprise risk use cases.
The raise lands at a moment when enterprises are pouring money into security and AI without necessarily fixing the data problems sitting underneath. Gartner estimates that businesses will spend around $240bn on information security in 2026 alone, yet much of that outlay is generating disconnected data rather than genuine insight.
The analyst firm has also forecast that more than 40% of agentic AI projects will be cancelled by the end of 2027, pointing to spiralling costs, unclear business value and weak risk controls as the main drivers. Prevalent AI argues all three problems trace back to a single root cause, a lack of context, since AI systems can only be trusted to make reliable decisions when the data feeding them is clean, connected and kept current.
Prevalent AI’s platform pulls together hundreds of scattered enterprise data sources into what it calls a sovereign knowledge graph, refreshed on a continuous basis. The technology was proven first inside cybersecurity, a sector where disjointed data can translate directly into operational risk, before being extended to give organisations a single trusted view of what exists across their systems, how everything connects and where the gaps remain.
Its customer base already spans some of the world’s largest banks, telecommunications providers and insurers.
The company was founded in 2017 by chief executive Paul Stokes and chief operating officer Arun Raj, alongside a wider team with roots in the intelligence community, including former GCHQ director Sir Iain Lobban and Andrew France, who previously served as GCHQ’s deputy director for cyber defence operations before co-founding and leading Darktrace as chief executive.
Prevalent AI has spent close to a decade building its business without outside growth funding, and in 2021 Istari, part of Singapore’s sovereign wealth fund Temasek, took a minority stake through a secondary transaction. Annual recurring revenue has more than doubled over the past twelve months as demand for the company’s knowledge graph technology has accelerated.
Alongside its core platform, Prevalent AI’s white glove managed services have helped clients speed up adoption, with one global insurance company cutting the time needed to produce executive security reports by 95%, while a large international banking group lifted its incident detection rate by more than 80%.
The new funding follows recent additions to Prevalent AI’s leadership team, with Stuart Barnard joining as chief financial officer and Mike East as senior vice president of global sales, appointments the company says will support the next stage of its growth.
Prevalent AI co-founder and CEO Paul Stokes said, “Large enterprises do not have a shortage of tools or data. They have a shortage of context. Security teams are being asked to make decisions across thousands of systems, controls, identities, and data sources that were never designed to work together.
“For almost a decade, we have been using AI to continuously clean, connect, and contextualize enterprise data so organizations can see what exists, what is working, where the gaps are, and what needs attention. We started with security because that is where fragmented data does the most damage. The investment from Integrity Growth Partners allows us to scale our business beyond cybersecurity into every enterprise function where decisions depend on connected, trusted data.”
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