Snowflake, the AI Data Cloud company, today announced significant updates across Snowflake Intelligence and Cortex Code, advancing its vision to become the control plane for the agentic enterprise. As AI systems evolve from answering questions to taking action, these enhancements enable organizations to connect even more data sources, enterprise systems, and AI models with their trusted Snowflake data within a unified experience. This allows enterprises to align their data, tools, and workflows with AI agents built on Snowflake — enabling more seamless action on data that reflects how their business actually runs.
Snowflake Intelligence now serves as a personal work agent with Skills (GA soon) for automating routine tasks described in natural language.
New MCP connectors (GA soon) connect Snowflake Intelligence to Gmail, Google Calendar, Jira, Salesforce, and Slack.
Snowflake Intelligence iOS mobile app (public preview soon) enables on-the-go access with deep research for multi-step, cited reports.
Cortex Code supports external data systems including AWS Glue, Databricks, and Postgres with VS Code extension (private preview) and Claude Code plugin.
More than 50 percent of customers now actively leverage Cortex Code since its November 2025 launch.
Over 9,100 customers use Snowflake's AI products on a weekly basis.
"AI is changing how every company operates, and the platforms that win will make it easy to put AI into practice with the right data and guardrails," said Baris Gultekin, VP of AI, Snowflake. "Snowflake gives customers one place to bring their data together, connect the systems they rely on, and turn AI into something that actually helps teams get work done."
Unlike other copilots and AI assistants on the market, Snowflake Intelligence understands the full context of organizations' business data and is enterprise-ready with trust, governance, and security capabilities at the forefront. With the latest updates, Snowflake Intelligence provides a unified experience where users can interact with data, reason over it, and take action across enterprise systems.
Key advancements include:
Automate routine tasks: Skills (generally available soon) allow users to describe workflows in natural language — such as preparing presentations, conducting multi-step analysis, or sending follow-ups — and Snowflake Intelligence executes them automatically, eliminating manual work and making it easy to repeat and share.
Connected to your tools and work: New Model Context Protocol (MCP) connectors (generally available soon) allow Snowflake Intelligence to connect directly with enterprise tools like Gmail, Google Calendar, Google Docs, Jira, Salesforce, and Slack so users can operate across the systems they already use.
Mobile app for on-the-go access: Users can download the new Snowflake Intelligence iOS mobile app (public preview soon) to ask questions and take action on their data and workflows from anywhere.
Multi-step reasoning with deep research: With deep research (public preview soon), Snowflake Intelligence helps users answer their most complex questions with fully cited, multi-step reports using an agentic architecture to reason across structured data, unstructured content, and external context.
Personalized over time: Snowflake Intelligence now continuously learns from user behavior to deliver more relevant, personalized responses and automate recurring tasks.
Reusable, shareable work: Artifacts (generally available soon) allow users to save and share analyses, visualizations, and workflows with each other, turning one-off outputs into reusable knowledge.
Cortex Code is expanding to support builders working across increasingly complex, multi-system data environments. Since launching in November 2025, Cortex Code has seen rapid adoption, with more than 50 percent of customers now actively leveraging it. These updates extend Cortex Code across the modern data stack, enabling builders to:
Build wherever data lives: Cortex Code now supports even more external data systems including AWS Glue, Databricks, and Postgres, extending Snowflake's data-native intelligence.
Connect to the broader AI ecosystem: Cortex Code now plugs into other AI systems through the MCP and Agent Communication Protocol (ACP), allowing builders to interface with Cortex Code from their existing AI agents and workflows.
Work within a preferred development environment: With the new VS Code extension (in private preview) and a Claude Code plugin, builders can access Cortex Code directly in their integrated development environments.
Scale with the Cortex Code platform: A new Agent Software Development Kit with support for Python and TypeScript enables teams to integrate Cortex Code's capabilities directly into their own apps and workflows.
Unlock smarter workflows with Cortex Code in Snowsight: With Cloud Agents (in private preview), users can run code and execute workflows directly in their browser. New enhancements including Plan Mode lets users preview and approve workflows before execution, while Snap & Ask enables direct interaction with data artifacts like charts and tables.
"Snowflake provides the data and intelligence foundation behind Capita's AI Catalyst Stack, enabling us to bring together fragmented operational data and deliver real-time, natural-language insights across public service contact centres," said Sameer Vuyyuru, Chief AI and Product Officer, Capita. "With Snowflake Intelligence, we're accelerating decision-making, reducing operational overhead, and unlocking meaningful efficiencies."
"Snowflake Intelligence has given our data a trustworthy voice, and Cortex Code is driving significant productivity gains in how we work with it," said Kumar Maddali, VP of Product Development, Telenav. "What once took days to weeks to move from raw data to insights can now be done in minutes to hours through a conversational, self-service experience."
"With Snowflake Intelligence, our teams across more than 1,600 locations can use natural language to better understand operational performance and access real-time insights without relying on analysts," said Tony Leopold, Chief Technology and Strategy Officer, United Rentals. "This is accelerating decision-making and creating stronger alignment across the business."
"Snowflake has become a core part of how we're applying AI across our operations. We've already deployed dozens of AI agents across manufacturing, quality, supply chain, and finance, giving teams faster access to trusted data," said Priya Almelkar, CIO, Wolfspeed.
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 13,300 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.
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