Prevalent AI Raises $22M for Data Fabric

After nearly a decade of bootstrapped growth, a London-based AI company is bringing on its first outside capital, with a $22 million injection aimed at pushing its data fabric platform beyond the security teams that formed its initial customer base. The funding, announced today, marks a strategic pivot for Prevalent AI as it seeks to scale in the US and broaden its appeal to enterprise IT.

From GCHQ Roots to Growth Capital

Prevalent AI was founded in 2017 by former leaders from GCHQ and Darktrace, giving it a pedigree in the security and intelligence space. The company has operated without external funding until now, a notable distinction in a sector where early VC backing is the norm. That bootstrapped history, the company says, has shaped a platform built on real-world operational needs rather than investor-driven feature checklists.

The headline investment comes from Integrity Growth Partners (IGP), a firm whose name signals a focus on steady, long-term scaling rather than flashy early-stage bets. For Prevalent AI, the capital represents not just a financial milestone but a signal that its approach—rooted in data context rather than yet another alerting tool—has found traction.

Context, Not Tools: The Data Fabric Pitch

At the center of Prevalent AI's offering is a data fabric platform that takes fragmented enterprise data and weaves it into a knowledge graph. This graph is designed to give security teams—and increasingly AI agents—the context, clarity, and control needed to make sense of sprawling IT environments. The pitch is simple: enterprises have thousands of systems, controls, identities, and data sources, none of which were built to interoperate.

The platform cleans, connects, and contextualizes security data, continuously identifying and remediating risks. It also enables organizations to deploy and operate AI agents securely. But the ambition now goes further: the funding will be used to accelerate US expansion, scale go-to-market efforts, extend the platform beyond cybersecurity, and deepen its leadership team.

Security First, But Not Security Only

The company explicitly started with security because, as its leadership puts it, that's where fragmented data does the most damage. Yet the platform's underlying architecture—a knowledge graph of enterprise data—has applications far beyond the SOC. That's why the expansion beyond security is a core part of the growth plan, though the company hasn't detailed which verticals or use cases it will target next.

For now, the immediate focus is on scaling what works. The data fabric approach is gaining attention as organizations grapple with AI adoption, which generates even more data sprawl and raises the stakes for governance. Prevalent AI positions itself as a layer that sits above the chaos, providing a comprehensive view of what data exists, how it relates, and where operational gaps lie.

“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.”

— Paul Stokes, co-founder and CEO of Prevalent AI

The Context Shortage: A Founder's Diagnosis

Paul Stokes, who co-founded the company and serves as CEO, offers a diagnosis of why so many security investments underdeliver. In his view, the problem isn't a lack of technology, but a lack of context. Teams are drowning in alerts and data points, yet struggle to see the connections that matter. That context gap is what Prevalent AI aims to fill.

Stokes also highlighted the company's decade-long AI use: “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.”

Funding Details at a Glance

• $22 million in growth funding from Integrity Growth Partners (IGP)
• Founded in 2017, bootstrapped until now
• Headquartered in London, UK
• Platform extends beyond cybersecurity

Expansion Plans and Leadership

The investment will fund several initiatives, with US growth as a clear priority. Prevalent AI has been primarily UK-focused until now, and the funding will support go-to-market efforts designed to establish a stronger presence across the Atlantic. The company also plans to deepen its leadership team, bringing in executives who can help manage the scale-up.

The extension beyond cybersecurity is a strategic bet. While security remains the anchor use case, the underlying data fabric concept is generic enough to apply to any domain where fragmented data impedes decision-making. This could mean new products or verticalized solutions, though the company has yet to specify.

Why It Matters for Enterprise Buyers

For security leaders and IT executives, this funding round is a signal that the data fabric approach is gaining financial backing and staying power. Prevalent AI's focus on context over tools could resonate with teams that have grown weary of alert fatigue and point products. The expansion beyond security suggests that the knowledge graph approach may become a more general enterprise platform, potentially simplifying how organizations manage data across silos.

The move also highlights a broader trend: as AI agents become more embedded in enterprise workflows, the need for clean, connected data becomes critical. Prevalent AI is positioning itself to be the layer that makes data usable for AI, not just for human analysts. For enterprises, this could mean more efficient operations, fewer gaps, and a stronger foundation for AI-driven decision-making.