Apply network-powered automation and graph data science for deeper, more insightful graph-powered intelligence analysis
As more intelligence sources are integrated into the GraphAware Hume platform, analysts can use graph algorithms and advanced data science to uncover new insights in complex connected data.
These insights can then be explored intuitively and communicated clearly through interactive graph visualisation.

Detect emerging patterns of interest in your data as they happen, with notifications delivered within seconds of new information entering the system.
Configure, monitor, and manage alerts through a simple, intuitive interface.
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GraphAware Hume supports graph data science (GDS) algorithms via Neo4j to identify influential nodes, predict links, and detect communities within your data.

Create flexible, composite visualisations of intelligence from connected data.
Build detailed visual intelligence summaries, such as dashboards, 360-degree entity profiles, and suspect nomination lists, tailored to individual entities or groups.
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