Snowflake signs $200 million partnership with OpenAI
Snowflake has entered a multi-year, $200 million partnership with OpenAI to bring OpenAI’s AI models directly into Snowflake’s data cloud, a move the companies say will accelerate how large organisations build and deploy AI applications using their own governed data. The agreement is designed to make OpenAI’s models available to Snowflake’s more than 12,600 enterprise customers across major cloud providers, while keeping security, compliance, and data governance at the centre of deployment.
The collaboration expands an existing relationship between the two companies. OpenAI already uses Snowflake internally for data analytics and testing, while Snowflake employees use ChatGPT Enterprise for productivity and decision support. The new deal formalises a deeper technical integration and a joint go-to-market strategy focused on AI agents and enterprise use cases.
OpenAI models embedded in Snowflake’s enterprise stack
Under the partnership, OpenAI becomes one of the primary AI model providers within Snowflake’s ecosystem. Customers will be able to access OpenAI models through Snowflake Cortex AI and Snowflake Intelligence, enabling employees and developers to query data, run analysis, and build AI-powered tools using natural language.
A central promise of the arrangement is proximity: enterprises can combine OpenAI’s capabilities with their proprietary data inside Snowflake’s governed environment, reducing the need to move sensitive information across systems. For many large companies, that data movement has been a key barrier to production AI, raising concerns around privacy, auditability, and regulatory compliance.
Sridhar Ramaswamy, CEO of Snowflake, said the goal is to help organisations build AI on top of “their most valuable asset” while relying on a platform they already trust. “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,” he said.
Focus shifts to “agentic AI” at enterprise scale
Both companies positioned the partnership around the rapid adoption of agentic AI—systems designed not only to generate responses, but to reason over data and take actions across business workflows. In practice, this means employees could ask questions in plain language, explore structured and unstructured datasets, and receive insights without writing code, while AI agents could be configured to support tasks such as research, reporting, operational triage, or workflow automation.
Fidji Simo, CEO of Applications at OpenAI, described Snowflake as a platform “at the centre” of enterprise data activation. She said the integration aims to close the gap between what AI models can do and the value businesses can create today by placing advanced models directly where enterprise data lives.
Governance, reliability, and enterprise assurances
Snowflake emphasised that enterprise-grade controls remain core to the offering. AI applications built on the platform are expected to benefit from Snowflake’s data governance and compliance features, along with reliability commitments including a 99.99% uptime service-level agreement. The companies are positioning these controls as a differentiator for enterprises that want cutting-edge AI while maintaining privacy safeguards, data lineage, and business continuity.
In addition to model access, the partnership outlines broader objectives that include accelerating joint product innovation, enabling custom and interoperable AI agents, expanding access to insights across organisations, and supporting multimodal AI capabilities. While the companies did not provide a detailed product roadmap in the announcement, they framed the initiative as a long-term co-innovation effort rather than a simple vendor integration.
Why the deal matters for the enterprise AI market
The agreement underscores a broader trend in enterprise AI: companies want powerful models, but they also need those models to operate within strict governance boundaries and close to business-critical data. Data platforms, cloud providers, and model developers have been racing to offer “secure-by-design” paths to production AI, particularly as interest grows in AI agents that can interact with multiple tools and datasets.
For Snowflake, embedding OpenAI models more deeply into its platform strengthens its position as a hub where enterprise data and AI development converge. For OpenAI, the partnership provides a direct channel into large organisations that already standardise on Snowflake to manage and analyse data, potentially accelerating adoption of AI agents and applications in production environments.
What customers can expect next
Snowflake customers are expected to gain streamlined access to OpenAI models through existing Snowflake AI services, with an emphasis on enabling everyday use across business functions—not just specialised data science teams. The companies also signalled joint go-to-market initiatives, suggesting coordinated sales, marketing, and customer enablement programs as enterprises move from experimentation to scaled deployment.
As competition intensifies among AI model providers and enterprise data platforms, the Snowflake–OpenAI partnership highlights a key battleground: delivering advanced AI that is not only capable, but also governed, reliable, and ready to operate on proprietary enterprise knowledge.
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