The data cloud company said enterprises are increasingly deploying Claude through Snowflake Cortex AI to run governed AI agents on business data without moving sensitive information outside existing security controls. The message links two priorities now defining enterprise AI spending: stronger model reasoning and tighter governance over the data used to produce results.
The announcement follows Snowflake’s five-year AWS commitment, covering Graviton compute and AI infrastructure, which is designed to support heavier data and AI workloads. The agreement deepens a relationship that dates back to Snowflake’s early development on AWS and gives the company more scale as customers move from trials to production-grade AI systems.
Snowflake has raised its fiscal 2027 product revenue forecast to $5.84 billion from $5.66 billion, after quarterly revenue reached $1.39 billion. The company also expects second-quarter product revenue of between $1.415 billion and $1.420 billion, reflecting stronger demand for data warehousing, AI applications and workload migrations.
The market response has underscored how investors are viewing Snowflake’s AI strategy. Shares surged after the earnings update and AWS agreement, reversing part of the pressure the stock had faced when investors questioned whether cloud data platforms could translate generative AI interest into durable revenue growth.
At Summit 26, Snowflake and Anthropic highlighted customer use cases across financial analysis, cybersecurity investigations, customer support, developer productivity, sales intelligence and business analytics. Customers named in the partnership update include Basis, Block, Carvana, eSentire, Indeed and Notion, alongside advisory and implementation support from Deloitte Consulting.
Snowflake’s positioning rests on a simple proposition: companies want AI models to work where enterprise data already sits. Cortex AI allows users to apply Claude models to structured and unstructured data within Snowflake’s governed environment, supporting tasks such as natural language analysis, agent workflows, code generation, summarisation and data application development.
Christian Kleinerman, Snowflake’s executive vice-president of product, said demand reflects a wider shift in enterprise expectations. “Customers want AI that works directly on their governed data, not in isolated systems,” he said, adding that Cortex Code had become the fastest-growing product in Snowflake’s history.
Anthropic’s Steve Corfield said customers were using Claude to support cybersecurity investigations, accelerate financial analysis and build production data applications. His remarks point to the areas where model accuracy, auditability and data control matter most, particularly in sectors such as financial services, healthcare, life sciences and commerce.
The December 2025 expansion between Snowflake and Anthropic set the foundation for this phase of deployment. That $200 million multi-year agreement brought Claude models into Snowflake’s platform across major cloud environments and established a joint go-to-market effort for enterprise AI agents. Snowflake said thousands of customers were already processing trillions of Claude tokens per month through Cortex AI at that stage.
Snowflake has also embedded Claude more deeply into its own products. Snowflake Intelligence uses leading models, including Claude, to allow employees to query enterprise information in natural language. Cortex Code, also powered by frontier models, is aimed at developers building data pipelines, applications and workflows within Snowflake schemas and governance rules.
The AWS agreement adds an infrastructure layer to that model partnership. Snowflake’s commitment includes use of AWS Graviton processors and AI infrastructure, with both companies seeking closer product integrations for generative and agentic AI. The deal also expands joint sales through AWS Marketplace and supports workload migration programmes for enterprises looking to consolidate data and AI systems.
AWS Marketplace has become a significant channel for Snowflake, with lifetime sales surpassing $7 billion and calendar year sales exceeding $2 billion in 2025. Snowflake is also expanding availability across new AWS regions, including Auckland, Cape Town, Bangkok and the AWS European Sovereign Cloud, as customers demand lower latency and data residency options.
The strategy faces pressure from strong competition. Databricks, Microsoft, Google Cloud, Oracle and Amazon’s own data and AI services are all pursuing enterprise AI budgets. Model providers including OpenAI, Anthropic, Google DeepMind and Meta are also competing to become the preferred reasoning layer for business applications.
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