With a personal AI agent for business users and a coding layer for builders, Snowflake is betting that unified, governed data is the foundation enterprises need.
Snowflake has announced significant updates to two of its core AI products — Snowflake Intelligence and Cortex Code — as the data cloud company pushes further into agentic AI and positions itself as the central operating layer for enterprise AI deployments.
The updates reflect a broader shift in how enterprises are approaching AI: less as an experimental capability and more as something embedded in daily operations. More than 9,100 customers now use Snowflake’s AI products on a weekly basis, the company said.
Snowflake Intelligence, the company’s AI agent for business users, is being expanded to function as a personalized work assistant that learns individual preferences and workflows over time. New capabilities include Skills, which allow users to describe multi-step workflows in plain language — preparing presentations, running analyses, sending follow-ups — and have the system execute them automatically. New Model Context Protocol connectors will link Snowflake Intelligence directly to enterprise tools including Gmail, Google Calendar, Jira, Salesforce and Slack. A deep research feature will allow users to generate fully cited, multi-step reports that reason across structured data, unstructured content and external context. A mobile app for iOS is also in preview.
Cortex Code, the company’s AI-powered development layer for builders, is expanding its reach across the enterprise data stack. Since launching in November 2025, more than half of Snowflake customers have adopted it. New integrations extend support to external data systems including AWS Glue, Databricks and Postgres. A VS Code extension and a Claude Code plugin allow developers to access Cortex Code directly within their preferred development environments. A new Agent Software Development Kit supporting Python and TypeScript enables teams to integrate Cortex Code’s capabilities into their own applications and workflows.
“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 at 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.”
Early enterprise deployments point to meaningful operational impact. United Rentals, which operates across more than 1,600 locations, said Snowflake Intelligence allows its teams to access real-time operational insights through natural language without routing requests through analysts. Telenav, which processes more than 20 terabytes of data and 200 million events per day, said that analysis that previously took days can now be completed in minutes. Wolfspeed said it has deployed dozens of AI agents across manufacturing, supply chain and finance using the platform.
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Capita, the UK outsourcing and public services group, said it is using Snowflake Intelligence to deliver real-time insights across public and private sector contact centers. “We’re accelerating decision-making, reducing operational overhead, and unlocking meaningful efficiencies for our clients,” said Sameer Vuyyuru, Capita’s chief AI and product officer, noting that governance and compliance remain critical given the citizen-facing nature of many of its services.
The announcements were made at Snowflake’s developer event in Menlo Park. Several features remain in preview or are expected to reach general availability in the coming months.
