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Neo4j Acquires GraphAware,

GraphAware acquired by Neo4j

AcquisitionTechnology, Information and MediaGB

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Acquired

GraphAware

United KingdomTechnology, Information and Media

Undisclosed amount

June 3, 2026

Neo4j logo
Acquirer

Neo4j

Neo4j, a leader in graph database technology, has acquired GraphAware, a company specializing in graph-powered intelligence analysis, for an undisclosed amount. This acquisition marks a significant expansion for Neo4j into the specialized domain of intelligence and security applications, integrating GraphAware's advanced platform into its ecosystem.

GraphAware is known for its Hume platform, which provides a new approach to intelligence analysis. Hume transforms siloed data into a connected intelligence picture, enabling analysts to address complex questions by bringing data and context together. The platform has been instrumental for law enforcement and security organizations, including those involved in national security, policing, financial crime detection, and cyber defense, by accelerating analysis without rigid models.

The strategic rationale behind Neo4j's acquisition of GraphAware centers on enhancing its offerings for critical intelligence and security use cases. Neo4j, as the provider of the world's leading graph database, will now directly integrate GraphAware's specialized analysis capabilities. This synergy is expected to provide a more comprehensive solution for organizations seeking to leverage graph technology for complex investigations and threat detection, combining robust data management with sophisticated analytical tools.

The combined entity aims to deliver an even more powerful suite of tools for intelligence professionals. By bringing together Neo4j's foundational graph database technology with GraphAware's expertise in intelligence analysis, the acquisition is poised to accelerate innovation in graph-powered solutions. This move is anticipated to empower a broader range of customers to uncover hidden connections and derive actionable insights from vast, complex datasets more efficiently.

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