The agentic enterprise was a pervasive theme at this week’s Snowflake Summit in San Francisco. In Snowflake’s vision, the agentic enterprise is enabled by making every employee, be it a knowledge worker or a developer/app builder, more productive through secure, governed AI capabilities tightly integrated with enterprise data. To that latter point, while the two types of users have different objectives and use different tools, they both require easy, secure access to data.
Building on this common need, Snowflake rebranded its existing tools, giving them new names that reflect their shared attributes.
To start, it renamed Snowflake Cortext Code, its coding agent for developers, CoCo. Snowflake’s EVP of Product, Christian Kleinerman, noted that even though the solution’s formal name was Snowflake Cortext Code, users were calling it CoCo from the day it was launched.
CoCo gives builders a unified, governed environment to manage workflows across data, models, and apps. New capabilities in CoCo expand its use across desktop, mobile, and Slack interfaces. In addition, builders can now let CoCo run tasks autonomously, assist with end-to-end app development and deployment, and help teams deliver production-ready results faster and more securely.
Snowflake also introduced Snowflake Datastream, a new, fully managed streaming service for Apache Kafka that brings real-time data and AI together in a single, governed platform, making it easier for organizations to power AI apps and agents with fresh, continuously flowing data.
Together, CoCo and Datastream give organizations a simpler way to build real-time AI apps by combining AI-assisted development with continuously flowing data in a single platform.
See also: Real-Time RAG Pipelines: Achieving Sub-Second Latency in Enterprise AI
Next-gen BI
The other name change was to what was formerly Snowflake Intelligence. Playing off the CoCo name, this personal agent for knowledge workers is now called Snowflake CoWork.
The latest CoWork enhancements are designed to make it easier for knowledge workers to leverage AI capabilities to gain insights into fragmented data. With innovations such as Artifacts, Cortex Sense, and personalization, CoWork unifies data, context, and AI into a single experience so that business teams can safely interact with AI to drive decisions. With this solution, users can directly connect to enterprise tools such as Google Drive, Salesforce, and Slack with Model Context Protocol (MCP) connectors.
Note: the MCP capabilities build on Snowflake’s recently announced intent to acquire Natoma, whose enterprise MCP platform will help provide secure connectivity, governance, identity-aware authorization, and auditability for AI agents operating across enterprise systems and tools.
See also: BI Gets an AI Assist
A Governed, Semantic Foundation for AI
Snowflake also announced updates to Horizon Catalog. The solution is Snowflake’s built-in governance and discovery layer for its AI data cloud. It centralizes metadata, lineage, classifications, access controls, and policy management to give data teams a single source of truth for understanding what data exists, where it originated, who can access it, and how it is being used. It also extends governance beyond traditional Snowflake tables to support open formats such as Apache Iceberg, enabling consistent metadata and security policies across diverse data environments.
Horizon Catalog includes capabilities such as automated data classification, data lineage visualization, quality monitoring, role-based access controls, AI-powered search, and privacy-preserving data sharing. These features help organizations improve trust in their data, simplify regulatory compliance, and enable users to quickly discover and access governed data assets. Its key advantage is that it embeds governance directly into the Snowflake platform, reducing reliance on separate cataloging and governance. Such a capability is becoming critical as enterprises scale analytics and AI initiatives.
Essentially, Snowflake Horizon Catalog serves as the universal AI catalog for enterprise data. New capabilities, such as Horizon Context, ensure that every person, tool, and AI agent operates within the same trusted business context. Combined with new security features that provide purpose-built controls to govern and secure AI agents, Snowflake Horizon Catalog is positioned as a foundation for trusted AI.
Another Snowflake offering, Adaptive Compute, leverages the capabilities of Horizon Catalog to automatically optimize compute and software resources in real time, delivering fast, efficient AI and app performance at enterprise scale without manual tuning or infrastructure management.
