Timbr introduces Timbr-driven Data Agents for Databricks, enabling AI agents to accurately understand and query enterprise data using governed semantic models.
By integrating Timbr’s SQL knowledge graph with Databricks environments, data agents gain access to business context, relationships, and standardized metrics—ensuring that generated queries reflect true business meaning rather than raw schema interpretation. This approach eliminates ambiguity in AI-driven analytics and enables reliable, production-grade data agents.
With Timbr, organizations can operationalize AI agents in Databricks that deliver consistent, explainable, and context-aware insights directly from their data platforms.
