Timbr.ai announced a new integration with Snowflake that brings an ontology-based semantic context layer to Snowflake Cortex AI, helping enterprises build more accurate, governed, and context-aware AI applications.
As organizations adopt AI agents to interact with enterprise data, consistent interpretation of business logic becomes critical. Timbr’s context graph maps Snowflake data into governed business concepts, relationships, and metrics – giving AI agents a structured foundation for querying, reasoning, and acting on data with greater reliability.
Through the integration, organizations using Snowflake Cortex AI can improve consistency across AI-driven workflows, reduce errors in generated queries and insights, and maintain alignment between data access and business context across teams and applications.
By combining Snowflake Cortex AI with Timbr’s context graph, enterprises can build AI applications grounded in a consistent and governed understanding of their data.
