Snowflake and Anthropic Strike $200M Deal to Deploy Claude AI Across 12,600 Enterprise Customers

Reviewed byNidhi Govil

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Snowflake and Anthropic announced a $200 million multi-year AI deal to integrate Claude AI models into Snowflake's data cloud platform. The partnership brings Claude Sonnet 4.5 and Opus 4.5 to over 12,600 enterprise customers across regulated industries, enabling advanced AI agents for multimodal data analysis within secure data environments.

Snowflake Anthropic Partnership Expands with $200 Million Multi-Year AI Deal

AI research lab Anthropic is expanding its footprint in the enterprise market through a significant new collaboration with cloud data company Snowflake. The two companies announced a $200 million multi-year AI deal on Wednesday that will integrate Anthropic's large language models directly into Snowflake's platform, making Claude AI available to more than 12,600 global customers

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. The Snowflake Anthropic partnership represents what Snowflake CEO Sridhar Ramaswamy described as "nine-figure alignment, co-innovation at the product level, and a proven track record of executing together for customers worldwide"

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. This collaboration establishes a joint go-to-market initiative specifically focused on deploying advanced AI agents to enterprise customers at scale.

Source: CRN

Source: CRN

Claude AI Powers Snowflake Intelligence and Enterprise Data Analysis

The partnership centers on bringing Claude Sonnet 4.5 and Claude Opus 4.5 models into Snowflake's data cloud, where they will power Snowflake Intelligence, the company's enterprise AI service

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. Enterprise customers will be able to tap Claude models for multimodal data analysis across text, images, audio, and tabular data using SQL through Snowflake Cortex AI Functions

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. The integration allows customers to build production-ready data agents using Snowflake Cortex Agents that can retrieve and reason across both structured and unstructured data. According to the companies, these AI agents can deliver answers with greater than 90 percent accuracy on complex text-to-SQL tasks based on internal benchmarks

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. However, anything less than 100 percent accuracy means humans will still need oversight to verify answers are correct and actionable

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Secure Data Environments Enable Enterprise AI Adoption in Regulated Industries

A key advantage of this partnership lies in how it addresses enterprise concerns about data security and governance. "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, co-founder and CEO of Anthropic

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. By bringing Claude directly into Snowflake's data cloud, where enterprise data already lives, customers can perform natural-language AI queries while maintaining everything within Snowflake's security and governance perimeter

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. This capability is particularly valuable for regulated industries like financial services, healthcare, and life sciences, where customers can move AI pilots into production with confidence

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. Customers using Anthropic models in Snowflake can leverage the Snowflake Horizon Catalog for end-to-end governance and responsible AI controls

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Source: AIM

Source: AIM

Anthropic Prioritizes Enterprise Strategy Over Consumer Market

This deal reinforces Anthropic's strategic focus on enterprise AI adoption rather than individual consumers, a approach that contrasts with rival OpenAI's more consumer-oriented growth strategy

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. Anthropic has signed multiple large enterprise deals in recent months, including an October agreement with Deloitte to bring Claude to more than 500,000 employees, and a partnership with IBM to integrate large language models (LLMs) into IBM's software products

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. A Menlo Ventures survey in July found that enterprises preferred Anthropic's AI products over models from other AI companies

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. The partnership builds on existing collaboration, as thousands of Snowflake customers already process trillions of Claude tokens monthly through Snowflake Cortex AI

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. Anthropic is reportedly working toward an initial public offering that would value the company at more than $300 billion, with Amodei recently stating the company expects to end the year with revenue between $8 billion and $10 billion .

Source: Market Screener

Source: Market Screener

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