Model time and relationships
Represent entities, events and changing connections so applications can examine present and past state.
Sovereign foundation
Bring temporal graph, time-series, geospatial, vector and full-text workloads together with backend application logic for connected AI systems and digital twins.
Status: Roadmap. Availability, release terms and supported deployment conditions will be published as dated capability records before the status changes.
Core capabilities
Exact coverage, deployment requirements and limitations are documented for the selected version and use case.
Represent entities, events and changing connections so applications can examine present and past state.
Combine graph, time-series, geospatial, semantic and full-text retrieval in one foundation.
Place backend logic, scheduling, authentication and service interfaces close to governed data.
Expose authenticated interfaces and compute embeddings inside the customer-controlled environment where configured.
Product boundary
DB persists and queries data and authorised conversation state. Model Runtime performs inference. Assistants reasons and acts. Applications own their workflows.
Adoption outcome
Review data models, workloads, recovery needs and integration boundaries against a versioned technical deployment.
Sovereignty matrix
Product-specific answers are established through the deployment architecture and dated evidence record.
Connected capabilities
A practical first step
Review data models, workloads, recovery needs and integration boundaries against a versioned technical deployment.