Snowflake Ventures invests in Jedify for enterprise AI context

Jedify introduces an automated semantic lifecycle layer built on Snowflake to manage semantic models efficiently. This feature helps enterprises scale and evolve their semantic models, ensuring AI agents have access to up-to-date business context for high-quality outcomes. It automates the creation, governance, and ongoing maintenance of these models, accelerating AI adoption.

The partnership will establish a registry of Semantic Views using graph-based orchestration. This capability empowers Snowflake Cortex Agents and Snowflake CoWork to reliably navigate queries and resolve complex, multi-domain subquestions, improving the intelligence and effectiveness of AI interactions within the Snowflake ecosystem.

Jedify enhances AI answer accuracy by harvesting business logic from unstructured enterprise knowledge sources, including collaboration platforms and internal documentation. This data populates verified-query suites, continuously improving response reliability over time and ensuring AI outputs are aligned with business objectives.

Snowflake Ventures is investing in Jedify, an autonomous context graph designed to provide essential context for enterprise AI agents and workflows. This investment highlights Snowflake's belief in governed semantic context as a foundation for enterprise AI development. The partnership aims to enhance the accuracy and trustworthiness of AI-driven answers by grounding them in enterprise data and business logic.

Jedify's Snowflake Native App, which enables its autonomous semantic lifecycle management technology, is currently in private preview. Future availability is planned for Snowflake Marketplace, allowing Jedify customers direct access to Snowflake's AI capabilities without migration and enabling Snowflake customers to automate Semantic View creation and maintenance.