Graph analytics platform for law enforcement and intelligence agencies
GraphAware builds connected data analytics software for security and justice organizations, with a stack centered on Neo4j, Python, and orchestration tools (Airflow, NiFi, Kafka). The hiring mix—engineering-forward with a newly filled Revenue Director role—reflects a company moving from product-led adoption into structured sales motion, supported by active proof-of-value and demonstration cycles.
Notable leadership hires: Revenue Director
GraphAware, founded in 2013 and based in London, develops Hume, a graph analytics platform that connects fragmented data sources into a unified intelligence view. The product targets law enforcement and intelligence agencies across three continents, enabling analysts to discover hidden relationships and patterns in complex datasets without manual data integration. The company has demonstrated ability to move large organizations (1000+ employees) from spreadsheet-based workflows to operational case resolution within months. Current work focuses on core product hardening, low-code orchestration layers, API development for data integration, and proof-of-value delivery cycles.
Neo4j (graph database), Python, Cypher, PostgreSQL, Apache Airflow, Apache NiFi, Kafka, Docker, Java, and enterprise integration tools (SAP, Talend, MuleSoft, TIBCO).
London, United Kingdom. The company was founded in 2013 and currently employs 51–200 people.
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