Every use case,
one data layer

Secure systems with graph-based access control and semantic policy evaluation.

Create dynamic NPCs with memory and relationships.

Personalise learning by combining curriculum structure with semantic understanding of educational materials.

Make code retrieval more effective by combining structural code graphs with semantic search capabilities.

Enable developers to query codebases using both structural relationships and semantic meaning, improving productivity and code understanding.

Improve support outcomes by combining relationship graphs with semantic search for faster, more relevant answers.

Model real-world systems as living graphs of assets, dependencies, and telemetry.

Accelerate drug discovery by connecting compound interactions, pathways, and clinical data with semantic search.

Unify enterprise knowledge with graph-based document relationships and semantic search capabilities.

Combine graph-based entity and transaction analysis with vector-based anomaly detection for financial intelligence and anti-fraud solutions.

Detect fraud and assess risk by combining graph-based relationship analysis with semantic anomaly detection.

Link legal cases, statutes, and expert commentary.

Enhance LLM agents with both structured memory graphs and semantic recall for richer, more contextual interactions.

Combine patient relationship graphs with semantic understanding of medical data for personalised healthcare recommendations.

Deliver better recommendations by unifying collaborative filtering with semantic understanding of user preferences.

Unify structured sales data with unstructured market insights for more effective research, targeting, and pipeline management.

Optimise social feeds by combining graph-based user relationships with semantic content relevance.