Snowflake Accelerates the Agentic Enterprise with New AI, Governance, and Interoperability Innovations

Snowflake helps organizations accelerate innovation and operationalize trusted AI through a unified control plane for enterprise data, context, and action

• From Insight to Action: Snowflake CoCo (formerly Cortex Code) and Snowflake CoWork (formerly Snowflake Intelligence) help developers and knowledge workers alike turn enterprise data into AI-powered action across the business
• Trusted AI with Shared Context: Snowflake Horizon Catalog unifies governance, security, and business context so people, tools, and agents operate from the same trusted foundation
• Interoperability Without Compromise: Snowflake enables organizations to securely access and govern data across clouds, engines, and enterprise systems without moving or duplicating data

SAN FRANCISCO, SNOWFLAKE SUMMIT 26 – June 5, 2026 – Snowflake (NYSE: SNOW), the AI Data Cloud company, today announced at Snowflake Summit 26 a broad set of innovations that help organizations accelerate the shift to the agentic enterprise. Across Snowflake CoCo, Snowflake CoWork, Snowflake Horizon Catalog, and Snowflake’s interoperable data platform, Snowflake is helping organizations build, govern, and operationalize AI on a single, connected, and trusted foundation.

As enterprises move from AI experimentation to autonomous systems operating at scale, they need a platform that connects data, business context, governance, and action across the organization. Snowflake’s latest innovations bring together AI agents, governed enterprise data, semantic understanding, and open interoperability into a unified control plane that enables teams to operationalize AI with confidence.

“The future of enterprise AI will be defined by how well organizations connect intelligence, trusted data, and action across the business,” said Vijayant Rai, Managing Director- India, Snowflake. “At Snowflake Summit 26, we’re introducing innovations that help power the agentic enterprise, giving organizations a trusted foundation and control plane to build AI faster, operationalize it securely at scale, and enable teams and AI agents to work together from a shared business context wherever data lives.”

Snowflake CoCo Redefines Enterprise AI Development

Snowflake announced major new capabilities for Snowflake CoCo, the coding agent where you build faster, helping builders automate workflows, develop applications, and operationalize AI through simple, outcome-based conversations. 

• New CoCo innovations expand the experience across desktop, mobile, Slack, VS Code, Claude Code, and Microsoft Excel, enabling builders to work from the tools and environments they already use.
• Snowflake also introduced Snowflake Datastream, a fully managed streaming service for Apache Kafka® that enables organizations to power real-time AI apps and agents with fresh, continuously flowing data directly within Snowflake.
• Together, CoCo and Datastream simplify how organizations build and operationalize real-time AI by combining AI-assisted development with governed, real-time data in a single platform.

Snowflake CoWork Powers the Agentic Enterprise

Snowflake also announced new innovations across Snowflake CoWork, the personal agent for knowledge workers to work smarter, helping organizations move faster from insight to impactful action. 

• New CoWork capabilities including Cortex Sense, Artifacts, Deep Research, User Skills, and personalization help teams interact with enterprise data and AI through a unified, context-aware agent experience.
• CoWork enables organizations to move beyond reactive question-and-answer experiences toward proactive, personalized intelligence that helps teams automate workflows, accelerate decision-making, and operationalize AI across the business.

Snowflake also introduced Cortex Training, extending Snowflake Cortex AI with fully managed infrastructure for customizing and training foundation models directly where enterprise data already lives.

Snowflake Horizon Catalog Creates a Trusted Foundation for Enterprise AI

Snowflake announced new innovations across Snowflake Horizon Catalog that redefine how enterprises govern, contextualize, and secure AI at scale.

• New capabilities including Horizon Context help ensure every person, tool, and AI agent operates from the same trusted business context, while new AI security innovations provide purpose-built controls for governing and securing enterprise AI systems.
• New security innovations including Agent Identity and enhancements to Snowflake Trust Center help organizations strengthen visibility, governance, and control as they scale AI and autonomous systems across the enterprise.

Snowflake also introduced Adaptive Compute, which automatically optimizes compute and software resources in real time to deliver fast, efficient AI and application performance at enterprise scale without manual tuning or infrastructure management.

Snowflake Advances Interoperability Without Compromise

Snowflake introduced new interoperability capabilities that enable organizations to seamlessly access, govern, share, and act on data across Snowflake, external lakes, and open systems without moving or duplicating data.

• New interoperability innovations including support for Apache Iceberg v3, Snowflake Storage for Apache Iceberg Tables, external engine access management, and support for Iceberg REST Scan Plan API establish a single, governed foundation for enterprise data and AI.
• Powered by Snowflake Horizon Catalog and Apache Polaris, these capabilities help organizations securely work from a single, live, governed copy of enterprise data across clouds, tools, engines, and enterprise systems.
• Snowflake is also enabling organizations to securely interact with their enterprise data through natural language with Snowflake CoCo and Snowflake CoWork, while Automatic Data Agents and Agent Sharing automatically transform shared datasets into conversational AI agents with governance built in.

Learn More:

• Check out all the innovations and announcements coming out of Snowflake Summit 26 on Snowflake’s Newsroom.
• Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeSummit.

About Snowflake

Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 13,900 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).

Forward‑Looking Statements

This press release contains express and implied forward-looking statements, including statements regarding (i) our future operating results, targets, or financial position; (ii) our business strategy, plans, opportunities, or priorities; (iii) the release, adoption, and use of our new or enhanced products, services, and technology offerings, including those that are under development or not generally available; (iv) market size and growth, trends, and competitive considerations; (v) our vision, strategy and expected benefits relating to artificial intelligence (AI), the enterprise AI revolution, Snowflake Cortex AI, Snowpark, Snowflake Marketplace, the AI Data Cloud, and AI Data Clouds for specific industries or product categories, including the expected benefits and network effects of the AI Data Cloud; and (vi) the integration, interoperability, and availability of our products, services, and technology offerings with and on third-party products and platforms, including public cloud platforms and AI models. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forward-looking statements as predictions of future events.

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