Snowflake & Anthropic expand Claude use for enterprise AI

Snowflake and Anthropic said enterprise customers are expanding their use of Claude models in Snowflake Cortex AI, reflecting stronger demand for AI tools that operate within governed data environments.

The partnership focuses on running Anthropic's Claude models directly on data held in Snowflake. That allows companies to build AI agents and analysis tools without moving sensitive information outside Snowflake's system, with the aim of supporting production use rather than limited trials.

Customer uptake is one of the clearest signs of that push. Snowflake said it has more than 13,900 customers globally, and more than 13,600 accounts use its AI products every week.

It also pointed to rapid growth for Cortex Code, its coding agent product, describing it as the fastest-growing product in its history, with more than 7,100 users. Alongside Cortex Code, the companies are also working together on Snowflake Intelligence, a tool designed to help staff query and act on enterprise data in natural language.

At the centre of the tie-up is a familiar issue for large businesses adopting generative AI: how to use advanced models on internal data while keeping security, governance and oversight intact. Snowflake's pitch is that companies can apply Claude models to their data where it already sits while keeping existing controls in place.

Christian Kleinerman, EVP of Product at Snowflake, said customer expectations around AI had shifted beyond stand-alone tools.

"The rapid adoption of models like Claude through Snowflake Cortex AI reflects a broader shift in what enterprises expect from AI. Customers want AI that works directly on their governed data, not in isolated systems. We're seeing strong demand across our AI products, with Snowflake Cortex Code becoming the fastest-growing product in Snowflake's history. Together with Anthropic, we're helping organizations move from experimentation to production faster and laying the foundation for the agentic enterprise, where AI, data, and governance work together to drive real business outcomes," Kleinerman said.

Anthropic cast the partnership as a way into heavily regulated and data-intensive business processes, including cybersecurity, finance and application development.

"Snowflake customers are increasingly using Claude to power cybersecurity investigations, accelerate financial analysis, build production data apps, and many other workflows. Snowflake brings the governed data environment enterprises already rely on, and Claude brings the reasoning to put that data to work. Together we're making it easy for organizations to use trusted AI on their most critical business data," said Steve Corfield, Head of Global Business Development & Partnerships at Anthropic.

Customer use

Several companies cited by Snowflake and Anthropic described practical uses for the combined products, ranging from marketing analysis and operational planning to security investigations and knowledge management.

Block said it is using the combination to connect AI reasoning to data across brands including Square, Cash App and Afterpay. Its teams use the tools to investigate compliance and security issues, trace controls and requirements, surface operational insights and automate workflows tied to enterprise data.

"At Block, we're focused on building an AI-native operating layer that connects intelligent reasoning directly to the trusted data powering our ecosystems across our different brands, including Square, Cash App, and Afterpay. By combining Anthropic Claude with Snowflake's governed data platform, our teams can investigate compliance and security issues in real time, trace controls and requirements, surface operational insights, and automate workflows grounded in trusted enterprise data. Developers are also using Snowflake Cortex Code to build and operationalize these capabilities directly within Snowflake, creating a unified layer where AI can move seamlessly from analysis to action. This approach helps us reduce friction across investigations and decision-making, while maintaining the governance, performance, and scalability needed to apply AI responsibly across financial services and commerce," said Arnaud Weber.

Carvana said the complexity of its operations across inventory, logistics, financing and customer demand makes secure access to governed data especially important for AI use.

"Carvana manages a highly dynamic operation spanning inventory, logistics, financing, and customer demand. That complexity makes AI most powerful when it can work securely with governed enterprise data inside the systems our teams already use. By combining Claude with Snowflake, we can move faster, apply AI more effectively, and maintain the controls required to operate at scale," said Alex Devkar.

Cybersecurity company eSentire said it is using Claude within Snowflake to support AI-led threat investigations and handle lower-tier analysis before escalation to security operations staff.

"As cyber threats become more sophisticated and move at machine speed, organizations need AI that can reason deeply while operating within a secure, governed data environment. By leveraging Claude within Snowflake's trusted environment, we're able to power AI-led threat investigations that autonomously handle Tier 1 analysis, freeing our SOC analysts to focus on complex threats with greater speed and precision. This approach gives our customers the transparency, governance, and operational scale required to confidently deploy AI in mission-critical cybersecurity workflows," said Dustin Hillard.

Notion said it is using the model-and-data combination in workplace tools that generate content, synthesise knowledge and answer questions from live business data. The company highlighted an internal agent called Data Scout that draws directly from Snowflake.

"Notion is defining how AI and enterprise data come together in the modern workspace, bringing intelligence directly into the flow of everyday work. By integrating models like Claude with Snowflake's governed data platform, we're giving teams the ability to generate content, synthesize knowledge, and access real-time business insights all in one place. We've created agents like Data Scout that pull directly from Snowflake, helping customers move from question to insight to action without friction. The result is a more powerful and trusted experience, where AI is grounded in secure, reliable data and teams can make faster, more confident decisions," said Ravi Menon.

Broader build-out

The companies said their work now extends beyond model access in Cortex AI. Claude is also being used in Snowflake Cortex Code and Snowflake Intelligence, and Snowflake is among the launch partners in Anthropic's Claude Marketplace.

They also described joint work on security-focused development processes, including features designed to identify and fix vulnerabilities with human oversight. The focus reflects a wider market shift as businesses look for AI tools that fit existing risk and compliance structures rather than operate as separate systems.

Deloitte Consulting, which works with clients deploying both companies' products, said the connection between AI systems and governed data is becoming central to enterprise roll-outs.

"Our work with Snowflake and Anthropic brings together leading AI capabilities with a governed data foundation, enabling organizations to embed intelligence directly into their core business processes. Deloitte plays a critical role in helping clients design, build, and scale these solutions, accelerating time to value while supporting the alignment of AI to enterprise standards for risk, compliance, and performance. This collaboration is helping our joint clients turn AI ambition into measurable business outcomes," said Jason Salzetti.