Snowflake announced a major expansion of its collaboration with Amazon Web Services alongside plans to acquire Natoma, moves designed to accelerate enterprise adoption of generative and agentic AI while strengthening governance and security across AI-powered workflows.
As part of the expanded multi-year strategic collaboration agreement with AWS, Snowflake committed to spending $6 billion on AWS infrastructure, including Graviton compute and AI services, over the next five years. The agreement represents Snowflake’s largest infrastructure commitment to date and reflects increasing enterprise demand for AI and data workloads running on AWS.
The collaboration expands joint investments in customer success, workload migrations, strategic industry solutions, and go-to-market initiatives through AWS Marketplace. Snowflake also revealed that it has surpassed $7 billion in lifetime AWS Marketplace sales, including more than $2 billion in calendar year 2025 sales, more than doubling transaction growth year over year.
Snowflake said the deeper AWS partnership is intended to help enterprises move from AI experimentation to production-scale deployments by bringing foundation models and agentic AI capabilities directly to governed enterprise data environments. The company noted that Snowflake Cortex AI enables organizations to deploy applications for use cases including text-to-SQL, summarization, sentiment analysis, and entity extraction within secure Snowflake environments without moving sensitive data outside controlled perimeters.
The company also highlighted its continued expansion of AWS regional availability, including launches completed or underway in locations such as Auckland, Cape Town, Bangkok, and the AWS European Sovereign Cloud, helping customers address data residency requirements and deploy AI capabilities closer to business operations.
At the same time, Snowflake announced it has signed a definitive agreement to acquire Natoma, an enterprise Model Context Protocol platform focused on securely connecting AI agents to enterprise systems, applications, APIs, and tools. Financial terms of the transaction were not disclosed.
Snowflake said the acquisition will establish a natively integrated governance and identity layer for AI agents and MCP tool access, enabling enterprises to securely manage how AI systems interact with enterprise infrastructure. The company said Natoma’s technology will help extend Snowflake’s governance capabilities beyond data assets to include AI-driven actions and workflows across organizations.
According to Snowflake, the integration of Natoma’s platform will allow customers to securely connect Cortex Agents, Snowflake Intelligence, Cortex Code, and other AI platforms to SaaS applications, cloud environments, VPCs, on-premise infrastructure, databases, and APIs through a verified library of MCP servers.
The company added that users will be able to enrich Snowflake data with contextual information from tools such as Slack, email, CRM systems, Jira, and internal enterprise applications while maintaining centralized governance, auditability, policy enforcement, and identity-aware authorization controls.
Snowflake cited recent AI research indicating that 96% of organizations still face significant challenges scaling AI across the enterprise, particularly as businesses transition from AI copilots to autonomous AI agents capable of taking actions across enterprise systems.
Customers including Fetch and Hex are already using Snowflake on AWS to deploy AI applications and agents on governed enterprise data. Snowflake said these implementations are helping organizations unify data, eliminate silos, and generate faster operational insights through AI-driven workflows.
Natoma’s capabilities are expected to be integrated into Snowflake’s AI Data Cloud following the close of the acquisition, which remains subject to customary closing conditions.
KEY QUOTES:
“AI has generated enormous excitement, but for enterprises, the real challenge and opportunity is turning intelligence into action. We are moving into the era of the agentic enterprise, where AI systems don’t just answer questions, but help organizations reason over trusted data, coordinate workflows, and drive real business outcomes. With AWS, we are making it easier for enterprises to bring AI directly to governed data, so they can move faster, operate with greater clarity, and create measurable impact at scale.”
“AI agents are quickly becoming part of how enterprises operate, but intelligence without governance creates risk. Agents don’t just need access to data. They need the right context, permissions and policy guardrails to operate safely inside the enterprise. Snowflake has long served as the governed data foundation for enterprises, and with Natoma’s expertise in identity governance and privileged access management, we can extend that trust layer to AI-driven actions and workflows. With Natoma in Snowflake, coding agents can finally come alive inside the enterprise, secure, auditable and ready to operate at scale.”
Sridhar Ramaswamy, CEO, Snowflake
“Enterprises are rapidly moving from experimenting with AI to putting intelligent agents to work that drive real business outcomes. Snowflake has built on AWS since day one, and their deepened commitment to run on Graviton delivers the world-class performance, flexibility, and cost savings customers need to run data warehousing and AI workloads at scale.”
Matt Garman, CEO, Amazon Web Services
“AI is deeply embedded in how Fetch builds and operates every day, and our work with Snowflake and AWS is strengthening that foundation. With Snowflake Cortex AI, we’ve deployed a semantic agent that allows our sales teams to query campaign data in natural language and get instant insights. This enables faster, more informed decision-making across our business to deliver more value for our brand partners.”
Daniel Block, General Manager of Revenue and Partnerships, Fetch
“Snowflake on AWS is the foundation that many of our customers rely on to move fast with data. For teams using Hex to explore, analyze, and build with AI, having that layer be secure, governed, and performant isn’t a nice-to-have, it’s what makes enterprise AI adoption real.”
Caitlin Colgrove, Co-Founder and CTO, Hex
“AI agents will only become enterprise-ready if organizations can govern how they operate across systems, applications and tools. Together with Snowflake, we’re building the governance and connectivity layer that enables enterprises to securely operationalize AI at scale.”
Pratyus Patnaik, Co-Founder and CEO, Natoma
