Enterprises have made significant investments in AI, but many production deployments still fall short. The challenge is rarely the model itself. More often, AI agents lack the context needed to understand enterprise data, apply the right definitions and deliver trustworthy answers.
That’s why Snowflake Ventures is investing in Jedify, an autonomous context graph for data-intensive agentic applications and workflows. This investment reflects Snowflake's conviction that governed semantic context is becoming foundational infrastructure for enterprise AI.
Our relationship with Jedify began through the Snowflake Startup Accelerator, where the company built its Snowflake Native App™, now in private preview. Through that collaboration, we recognized the potential of bringing their autonomous semantic lifecycle management technology to the Snowflake AI Data Cloud.
Giving enterprise AI the context it needs
Jedify sits at the intersection of two pressing needs: helping teams scale and evolve semantic models more efficiently, while giving AI agents the grounded business context they need to deliver more accurate, trusted answers.
