Prevalent AI secures $22M growth investment to scale enterprise AI platform

Prevalent AI has secured a $22 million growth investment from Los Angeles-based Integrity Growth Partners (IGP), per Tech.eu. The round marks the first primary capital the company has raised since its founding nine years ago.

IGP is the sole named investor in the deal. According to Tech.eu, the funds will support Prevalent AI's sales, marketing, customer success, and partnership operations, while accelerating its expansion in the US. The company also plans to strengthen its leadership team as part of the investment.

Founded in 2017 by Paul Stokes and Arun Raj, Prevalent AI builds an AI-powered data platform that connects and contextualises information across enterprise systems. Its core technology aggregates data from hundreds of enterprise sources into a continuously updated sovereign knowledge graph, providing a shared layer of context that maps what data and systems exist, how they relate, and where operational gaps may exist. The company initially concentrated on cybersecurity, a domain where fragmented data distributed across multiple controls, identities, and systems can create meaningful operational risk.

Co-founder and CEO Paul Stokes has said the central challenge for large enterprises is not a shortage of tools or data but the ability to connect information and provide sufficient context for decision-making, per Tech.eu. Prevalent AI is now moving beyond cybersecurity to target broader enterprise functions, positioning its knowledge graph as foundational infrastructure for AI agents and automated systems that depend on connected, reliable data.

The timing aligns with wider enterprise adoption of AI agents, which require well-structured, contextualised data to function across different organisational functions. Prevalent AI is pitching its platform as the connective layer that helps those agents interpret relationships between data sources and support cross-functional decision-making. The company also plans to extend its knowledge graph technology into broader risk and enterprise applications, though no specific product timelines were given by Tech.eu.