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Snowflake and OpenAI have entered into a multi year strategic partnership valued at 200 million dollars. The goal is to push enterprise grade, agent based AI into real production use across large organizations. This is not framed as an experiment. It is meant to make AI something companies can actually run on their own data, inside systems they already trust.
Under the agreement, OpenAI’s models will be delivered natively inside Snowflake’s platform. Snowflake customers will be able to access them through Snowflake Cortex AI. This opens up OpenAI models to more than 12,600 Snowflake customers globally. The idea is simple. Companies can build AI applications and agents that understand context, work directly on proprietary data, and still meet enterprise requirements around security, governance, and compliance.
OpenAI will now sit at the core of Snowflake’s AI model ecosystem. Models including GPT-5.2 will be available through Snowflake Intelligence. This is an enterprise intelligence agent designed to let employees query and act on both structured and unstructured data using natural language. These capabilities will work across all three major cloud platforms supported by Snowflake.
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Some companies are already using the two together. Canva and WHOOP are named as examples. They are using Snowflake and OpenAI to improve analytics, decision making, and AI driven user experiences. By embedding OpenAI models directly into Snowflake Cortex AI, organizations can build AI agents that reason over governed enterprise data, trigger workflows across tools, and deliver real time insights without breaking performance or trust models.
The partnership also covers joint product development. Snowflake and OpenAI teams are working together using OpenAI’s Apps SDK, AgentKit, and APIs to support common enterprise workflows. The focus is on building customized AI agents that can interoperate across systems while staying locked down to enterprise data controls. Snowflake Intelligence plays a big role here by letting employees access trusted data without writing code, simply by asking questions.
Governance and reliability are central to the setup. Snowflake provides built in disaster recovery and business continuity with a 99.99 percent uptime SLA. OpenAI models can be used alongside sensitive data, with governance handled through the Snowflake Horizon Catalog. Snowflake Cortex AI Functions also allow teams to run multimodal AI analysis across text, images, audio, and tables using SQL, which most data teams already know.
The relationship is not new. OpenAI already uses Snowflake internally for experiment tracking and analysis. Snowflake uses ChatGPT Enterprise internally to boost productivity and speed up decisions.
By putting OpenAI models directly into Snowflake’s data cloud, both companies are trying to close the gap between AI hype and actual business value. The pitch is clear. Enterprise AI should be usable, powerful, and controlled at the same time.
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