Snowflake Summit's focus moved from AI model launches to operating Agentic AI at scale. The company introduced CoWork and Coco as enterprise agents, integrating Natoma for search, positioning the Data Cloud as the operating layer for enterprise intelligence.
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Snowflake Summit 2026 carried a message that was less about new products and more about what happens after the products ship. The conversation in Las Vegas this week shifted from building AI models and copilots to running Agentic AI at enterprise scale, several attendees said.
The company introduced the "Agentic Enterprise" vision, anchored by what it calls the Agentic Control Plane. Two renamed tools sit at the center. CoWork, formerly Snowflake Intelligence, and Coco, formerly Cortex Code. Both are positioned as agents that orchestrate data, models, applications, and business context. They are not tools that just generate content or code, Snowflake executives said.
Snowflake also absorbed Natoma, the search startup it acquired last year, into the platform as Agentic Search. That sits alongside Cortex Sense for real-time monitoring and Horizon Context for governance metadata. Taken together, the stack is designed to let agents reason, act, and move across enterprise systems with security and permission boundaries intact, according to the company's announcements.
The underlying logic is direct. A data platform that stores and queries data is table stakes. The next differentiator is a lakehouse that delivers trusted, governed, real-time data that AI agents can reason over. That is not a solved problem in most large organizations, where data quality and access permissions vary by team, one conference attendee said.
Snowflake's pitch is that the Data Cloud becomes the operating layer for enterprise intelligence, not just the storage layer. The company argued in its keynote that organizations will gain the most from AI not by picking the platform with the flashiest model integrations. They will gain it by picking the platform with a stronger data foundation for running agents at scale.
Buyers left the conference weighing that claim against Snowflake's execution record. The company has expanded its product surface area rapidly over the past three years, adding streaming, governance, app development, and now agent orchestration. The risk, some analysts said privately, is that breadth outpaces depth and enterprises find themselves managing a platform that does many things adequately but few things exceptionally.
Snowflake's stock dropped 3.2% in the two sessions following the opening keynote. The move reflected broader tech weakness, not a vote against the strategy, traders said.
Forrester plans to publish a full write-up of the announcements and their implications for enterprise buyers in the coming weeks.
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