Snowflake jumps on agentic AI train with Anthropic tie-up
Briefly

Snowflake jumps on agentic AI train with Anthropic tie-up
"The combination is a win for Anthropic's efforts to get its large language models (LLMs) used in enterprises ahead of other providers like OpenAI and Google. It will allow customers in the highly regulated finance and healthcare industries - among others - to deploy agents and then pull answers from across an enterprise's Snowflake instance with greater than 90 percent accuracy on complex text-to-SQL tasks, the companies claimed in the deal announcements published Wednesday."
""Enterprises have spent years building secure, trusted data environments, and now they want AI that can work within those environments without compromise," said Dario Amodei, CEO and Co-Founder of Anthropic in a canned statement. "This partnership brings Claude directly into Snowflake, where that data already lives. It's a meaningful step toward making frontier AI genuinely useful for businesses. By bringing Claude to Snowflake, customers can get natural-language AI answers from structured and unstructured data while keeping everything within Snowflake's security and governance perimeter."
Anthropic and Snowflake formed a partnership to deploy AI agents (Claude) inside governed Snowflake data environments for enterprise use. The integration targets regulated industries such as finance and healthcare and promises greater than 90 percent accuracy on complex text-to-SQL tasks. The service will be available to more than 12,600 Snowflake customers across Amazon Bedrock, Google Cloud Vertex AI, and Microsoft Azure. The deal was described as worth $200 million, though payment details were not clarified. Multimodal analysis using Snowflake's Cortex AI Functions and Claude's Opus 4.5 will query text, images, audio, and tables, and human oversight remains necessary for anything less than 100 percent accuracy.
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