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GraphXR is a visual graph analytics platform for exploring, analyzing and interacting with large connected datasets. It combines GPU-accelerated rendering, schema-free ingestion and visual query tools to surface relationships and anomalies. Used for threat hunting, fraud detection and data discovery across heterogeneous sources.
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Technical building block: can be automated, integrated, or operated.
Concrete cog in the system that works inside larger relationships.
GraphXR is a visual analysis platform that imports, explores, and presents graph data as interactive networks.
GraphXR emerged at Kineviz from the need to make complex relationship data visually accessible to domain users. The platform brings graph-database and analysis ideas together with collaborative visual exploration.
Data from files, databases, or APIs is mapped to nodes, edges, and attributes. Views define filters, layouts, and highlights; users inspect subgraphs, compare attributes, and share results as analysis or presentation.
Sources are translated into nodes, edges, and attributes of an analysis graph.
Layouts, filters, and colors reveal patterns and connections.
Analyses and views can be shared for joint investigation.
GraphXR helps explore, explain, and communicate connected data. Visualizations can become cluttered on large graphs; provenance, filter state, and permissions must remain clear.
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