Stock Markets February 2, 2026

Snowflake and OpenAI Forge $200 Million Pact to Embed AI Models Directly in Cloud Data Platform

Deal aims to place OpenAI models inside Snowflake across all major cloud providers and develop agents that query company data in natural language

By Caleb Monroe
Snowflake and OpenAI Forge $200 Million Pact to Embed AI Models Directly in Cloud Data Platform

Snowflake announced a $200 million collaboration with OpenAI to integrate advanced AI models into its cloud data platform. The work will include building AI agents that can handle complex workflows and answer natural-language questions using proprietary company data, while expanding availability of OpenAI models across all three major cloud providers rather than primarily through Microsoft Azure. Early customers including Canva and WHOOP are already using the joint offering; the agreement comes amid growing competition in the data-and-AI market, with rival Databricks recently raising $4 billion at a $134 billion valuation.

Key Points

  • Snowflake and OpenAI have agreed to a $200 million partnership to integrate OpenAI models into Snowflake's cloud data platform.
  • The collaboration will create AI agents that can answer natural-language queries using company data without requiring code, and will make OpenAI models available across all three major cloud providers instead of primarily through Microsoft Azure.
  • Early adopters such as Canva and WHOOP are already using the joint offering to accelerate research, analytics and decision-making; the deal occurs amid heightened competition, with Databricks raising $4 billion at a $134 billion valuation to fund its Agentbricks initiative.

Snowflake on Monday disclosed a $200 million partnership with OpenAI to embed sophisticated artificial intelligence models directly into its cloud data platform. The companies said the collaboration is designed to help enterprises extract insights from large internal data stores by providing AI capabilities where sensitive and valuable information already resides.

Cloud data platforms have become a focal point for generative AI initiatives because they house much of a company's most critical data. By placing AI models inside those environments, vendors hope to enable more seamless data analysis, internal document search and automation of routine tasks, while maintaining strict security and governance controls around sensitive information.

Under the terms of the deal, Snowflake and OpenAI will work together to build AI agents that can manage complex workflows. These agents are intended to let users pose questions in natural language and receive answers drawn from company data without needing to write code. The companies framed this development as part of a broader enterprise shift away from rudimentary chatbot experiments toward integrated agents that operate directly on proprietary datasets and combine automation with closer oversight.

Snowflake said the agreement expands an earlier collaboration by making OpenAI's models available within Snowflake across all three major cloud providers - rather than primarily through Microsoft Azure. The move is intended to broaden customer options for deploying the integrated models.

Several customers are already using the combined offering, Snowflake said. Design platform Canva and fitness-wearable maker WHOOP are among those leveraging the joint product to accelerate research, analytics and internal decision-making.

The announcement lands as competition in the data-and-AI sector intensifies. Snowflake's rival Databricks has continued to scale aggressively, recently raising $4 billion at a $134 billion valuation to fund its "Agentbricks" framework and an expanding lineup of AI products.


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Risks

  • Data security and governance considerations tied to embedding AI directly within cloud data platforms - impacts cloud providers and enterprise IT budgets.
  • Intensifying competition in the data-and-AI market could pressure pricing and product differentiation for cloud data platforms and AI vendors.
  • Uncertainty around enterprise adoption timelines as organizations shift from experimental chatbots to integrated agents that operate on proprietary data - impacts enterprise software and AI services procurement cycles.

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