Under the agreement, which was announced in a Monday (Feb. 2) news release, OpenAI’s models will be available natively within Snowflake’s AI Data Cloud, allowing organizations to build and deploy AI applications and agents using their own enterprise data without moving that data outside Snowflake’s environment.
Snowflake said the collaboration will enable use cases such as intelligent assistants, automated analytics, and AI-driven decision support tied directly to enterprise datasets.
“By bringing OpenAI models to enterprise data, Snowflake enables organizations to build and deploy AI on top of their most valuable asset using the secure, governed platform they already trust,” said Sridhar Ramaswamy, CEO of Snowflake. “Customers can now harness all their enterprise knowledge in Snowflake together with the world-class intelligence of OpenAI models, enabling them to build AI agents that are powerful, responsible, and trustworthy.”
For OpenAI, the deal extends its reach into large enterprise accounts that already rely on Snowflake to manage and analyze sensitive data. By integrating directly into the Snowflake ecosystem, OpenAI positions its models as infrastructure rather than tools, embedding them deeper into day-to-day enterprise operations.
The announcement comes as competition intensifies among data and cloud providers to define the default stack for enterprise AI. Snowflake has been expanding its AI offerings while facing growing rivalry from cloud hyperscalers and data platform competitors that are also racing to embed large language models into analytics and operational workflow.
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In related news, PYMNTS reported in January that Snowflake plans to acquire Observe, a provider of observability tools that help enterprises troubleshoot and monitor AI agents and data flows in real time. The acquisition is aimed at enhancing Snowflake’s ability to support complex AI deployments by offering faster issue detection and root-cause analysis for AI-driven systems.
