Snowflake & Anthropic: Using AI Agents for Multiple Sectors

Enterprise AI adoption now centres on tools that operate inside the data environments companies already build, rather than systems that demand structural redesigns. 

Snowflake and Anthropic set out to meet this demand by committing US$200m to a partnership that embeds Anthropic’s large language models (LLMs), across Snowflake’s global customer base.

How Claude integrates across cloud platforms and enterprise environments

The cloud data platform provider extends its arrangement with the AI company behind Claude through a multi-year plan that places these models in the hands of more than 12,600 enterprises. 

The two firms move beyond model access and introduce a joint sales effort aimed at deploying AI agents across large organisations in financial services, healthcare and life sciences. 

AI agents are autonomous software systems that carry out multi-step activity by pairing Claude’s reasoning with Snowflake’s governance framework.

Sridhar Ramaswamy, CEO of Snowflake, says: “Snowflake’s most strategic partnerships are measured not just in scale, but in the depth of innovation and customer value that we can create together.

“Anthropic joins a very select group of partners where we have nine-figure alignment, co-innovation at the product level and a proven track record of executing together for customers worldwide.

Claude becomes available to Snowflake customers through Amazon Bedrock, Google Cloud Vertex AI and Microsoft Azure.

These are the three dominant cloud infrastructure providers and this model distribution gives enterprises choice in how they integrate AI without committing to a single cloud vendor.

Tokens are the small units of text processed by an AI model. They usually represent short word fragments and roughly 1,000 tokens cover about 750 words.

Why Snowflake uses Claude to support engineering and sales

Snowflake already counts itself as a large Claude user, which underpins the commercial relationship. 

Engineering teams rely on Claude Code, a command-line tool that lets developers delegate coding tasks to AI.

Meanwhile, sales teams work with a Claude assistant built on Snowflake Intelligence to bring together internal data and move deal cycles forward.

Thousands of Snowflake customers process trillions of Claude tokens each month through Snowflake Cortex AI, the company’s machine learning service. 

Machine learning (ML), is a method where systems learn patterns in data to make predictions or produce outputs.

The expanded partnership centres on AI agents that interpret everyday language requests, determine what information is required, locate it within the Snowflake environment and produce an answer. 

Snowflake reports that Claude reaches greater than 90% accuracy on text-to-SQL tasks. SQL is a database query language that translates human questions into structured data commands.

How enterprise teams work with structured and unstructured data

The agreement supports analysis of structured data, which refers to information arranged in defined database fields, alongside unstructured data such as documents, images and audio files. 

Claude Sonnet 4.5 powers Snowflake Intelligence to produce answers from these varied data types. 

Claude Opus 4.5, which Snowflake hosts on launch day, supports multimodal queries through Snowflake Cortex AI Functions. 

Additionally, multimodal tools process more than one form of input at the same time, such as text and images.

Organisations already record outcomes from the joint approach. 

Simon Data, a customer data platform provider, uses Claude on Snowflake to uncover patterns while upholding internal governance rules. 

Meanwhile, Intercom, which builds customer service software, adopts Claude through Snowflake Cortex AI to run its Fin AI Agent for automated customer support.

Dave Lynch, Vice President (VP) of engineering at Intercom, says: “This has transformed how we work with our customers to achieve increased Fin AI Agent automation rates for their support volume.

“Our engagements, especially with our biggest, most demanding customers, are holistically more efficient and more effective. We can do things we simply could not feasibly do before.”

Dario Amodei, CEO and Co-founder of Anthropic, says: “Enterprises have spent years building secure, trusted data environments and now they want AI that can work within those environments without compromise.

“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.”

“Together, the combined power of Claude and Snowflake is raising the bar for how enterprises deploy scalable, context-aware AI on top of their most critical business data.”