Deploy network-based automation, LLMs, and graph data science.
As more intelligence sources are integrated into the platform, analysts leverage graph algorithms, machine learning and large language models to uncover insight from complex networks.
These profound insights can then be effectively communicated through advanced intelligence visualisation.
Stay on top of your data with automatic detection of emerging patterns of interest. Notifications arrive within seconds of new information entering the system.
An intuitive interface simplifies the configuration, monitoring, and management of alerts and notifications.
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GraphAware Hume supports advanced graph data science (GDS) algorithms for identifying influential nodes, link prediction, and community detection to discover clusters within networks.
The capabilities are tailor-designed to manage and optimise time-consuming tasks on large graphs.
Leverage large language models (LLMs) to extract more value out of your knowledge graphs.
Simplify building knowledge graphs from unstructured data by extracting entities from documents or context from social media posts. Query knowledge graphs using natural language — intuitively and efficiently.
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Action Boards are a flexible visualisation tool for analysts to create advanced composite views of intelligence from connected data.
Build detailed intelligence summaries, such as dashboards, 360-degree entity profiles, and suspect nomination lists. Views can be tailored for the analysis of an individual entity, or a group of entities.
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