Snowflake and OpenAI have struck a multi-year, $200 million partnership to bring OpenAI’s advanced models, including GPT-5.2, directly into Snowflake’s enterprise data platform. The collaboration is designed to let Snowflake’s large customer base, more than 12,000 organisations, build AI agents and semantic analytics tools that operate on their own data without moving it outside Snowflake’s governed environment.
Under the agreement, OpenAI models will be natively embedded in Snowflake Cortex AI and Snowflake Intelligence, making it possible to run queries, derive insights, and deploy AI-powered workflows using natural language interfaces and context-aware agents. Customers can analyse structured and unstructured data, automate complex tasks, and build applications grounded in enterprise data without needing extensive coding.
The deal expands Snowflake’s AI strategy beyond simple model access. By embedding these frontier models directly into its platform and making them available across major cloud providers, Snowflake aims to reduce the friction of AI adoption for large enterprises. Canva and WHOOP, among others, are already exploring how integrated agentic AI can speed up analytics and decision-making.
Snowflake’s stock reacted positively on the news, with shares climbing modestly following the announcement, as markets interpreted the agreement as a sign the data cloud provider is sharpening its competitive edge in an increasingly AI-centric landscape.
This partnership reflects a broader shift in enterprise AI beyond one-off integrations or bolt-on features. Instead, it signals a move toward platforms that combine governed data infrastructure with scalable generative AI models, helping businesses unlock insights and automate workflows without jeopardising security or compliance. Competitors such as Databricks are also intensifying their AI tooling efforts, underscoring how crucial native model access and data-centric AI capabilities have become in the enterprise race.
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Taken together, this deal highlights an emerging pattern: enterprise AI is evolving from tool-centric add-ons to platform-level capabilities that unify data and intelligence at scale. Whether this will translate into sustained competitive advantage, or simply raise the baseline expectation for what AI-enabled data platforms must provide, is the next story to watch in the data cloud era.
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