Timbr
The governed enterprise context layer for AI·timbr.ai
Timbr is an ontology-based semantic layer and SQL-native virtual knowledge graph platform for enterprise data. It models data as business concepts, relationships, hierarchies, measures, mappings, and rules while querying live data in existing systems, without requiring data to be copied or moved. Users can query the resulting semantic models through standard SQL and familiar BI, analytics, and AI tools instead of specialized graph query languages. It supports governed data access for BI, analytics, data products, APIs, natural language interfaces, and AI agents, including NL2SQL and GraphRAG use cases.
What it's for
Features 18
- Access control and governance across SQL, BI, and APIs
- AI-assisted ontology generation
- Data virtualization without moving or copying data
- Deployable on SaaS, cloud, or on-premises, containerized in Kubernetes
- GenAI NL2SQL engine
- Graph analytics over relational data
- Graph exploration and analysis assistant
- GraphRAG for structured and unstructured retrieval
- Import of OWL ontologies and conversion to SQL ontologies
- Knowledge Base for Data Agents
- Multi-tier semantic caching engine
- Natural language data retrieval for Excel
- ODBC/JDBC/MDX connectivity
- Query optimization with pushdown to backend data sources
- RDF graph materialization
- REST API with self-documenting Swagger (OpenAPI)
- Reusable business metrics defined in SQL (Measures in SQL)
- SQL-native ontology modeling
At a glance
Integrations
Resources
Pricing
Pricing information is not publicly listed; the site's Pricing link leads to a solution page without plan prices.