Timbr releases a set of foundational capabilities to strengthen enterprise governance of AI and improve SQL-based development workflows.
This update introduces Active LLM management, allowing organizations to define and control which large language model is used across all AI-powered operations. Combined with per-user LLM configuration, this ensures consistent, governed AI behavior across teams.
Additionally, Timbr enhances its semantic modeling performance with improved bulk description generation, accelerating ontology development at scale.
On the development side, Timbr introduces support for MCP OAuth and dynamic client registration, enabling secure, standards-based authentication for API integrations.
These updates reinforce Timbr’s position as a governed, enterprise-ready foundation for AI-powered data access and semantic modeling.
