The cognitive data engine for trustworthy AI answers.
Unify semantic understanding with structured reliability. Search, reason and operate over your data without sacrificing governance, precision or performance.
Bridging semantic and structured worlds
Enterprise teams want AI systems that understand meaning without losing the guarantees of structured data. Most solutions force a trade-off between flexibility and correctness.
Pure semantic search struggles when permissions, constraints, schemas and operational rules matter. Purely structured systems struggle when users want natural-language interaction and broader discovery.
DualDB is designed to remove that trade-off by combining semantic retrieval with structured reliability in a single operational model.
What you get
What you get
Hybrid retrieval with control
Blend semantic search, keyword search and structured filters in the same experience.
Schema-aware reasoning
Keep answers aligned to entities, relationships, constraints and governance rules.
Trustworthy AI outputs
Produce answers, copilots and workflows with traceability, explainability and auditability.
Faster production rollout
Reduce brittle glue-code and move from prototype to governed enterprise deployment faster.
Built for teams that need precision, scale and explainability.
Semantic Layer
vectors, embeddings and meaning-aware retrieval for natural language interaction.
Structured Layer
schemas, constraints and deterministic execution for correctness and control.
Signals
Hybrid retrieval turns natural-language experiences into production-safe answers.
ms-level
Latency
End-to-end
Traceability
Built-in
Governance
Want a demo?
We will demo the product and align a pilot with metrics and governance.