Snowflake and Anthropic have announced an expansion of their partnership to help enterprises deploy AI applications more securely and efficiently using governed business data.
The announcement was made at Snowflake Summit 2026 in San Francisco where the companies highlighted growing demand among enterprises for production-ready AI systems that operate within secure and regulated data environments.
Under the partnership, Anthropic’s Claude models will continue to power Snowflake Cortex AI, allowing organisations to build AI agents, automate workflows and analyse business data without moving sensitive information outside the Snowflake platform.
“The rapid adoption of models like Claude through Snowflake Cortex AI reflects a broader shift in what enterprises expect from AI,” Christian Kleinerman, Executive Vice President of Product at Snowflake, said.
He added that customers want AI that works directly on their governed data, not in isolated systems. Together with Anthropic, we’re helping organisations move from experimentation to production faster and laying the foundation for the agentic enterprise.
“Snowflake customers are increasingly using Claude to power cybersecurity investigations, accelerate financial analysis, build production data apps and many other workflows,” Steve Corfield, Head of Global Business Development and Partnerships at Anthropic, said.
“Snowflake brings the governed data environment enterprises already rely on, and Claude brings the reasoning to put that data to work,” he noted.
Several companies, including Block, Carvana, Indeed, Notion, and eSentire, are already using the combined capabilities of Snowflake and Anthropic in their business operations.
The companies also announced deeper collaboration across products such as Snowflake Cortex Code, an AI-powered coding assistant and Snowflake Intelligence, an enterprise AI agent designed to help employees query and analyse business data using natural language.
The partnership reflects a broader trend of enterprises moving beyond AI experimentation and adopting governed AI systems that combine advanced reasoning capabilities with security, compliance and enterprise-grade controls.
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