Snowflake Expands AI Capabilities with New Intelligence and Cortex Code Updates
Snowflake Expands AI Capabilities with New Intelligence and Cortex Code Updates
Snowflake has announced a major expansion of its artificial intelligence ecosystem, introducing new features to its Snowflake Intelligence and Cortex Code platforms. The move aims to make AI more accessible across organizations by supporting both non-technical business users and software development teams within a unified environment.
Snowflake Intelligence is designed for general business users, enabling them to automate tasks using natural language. Through the platform, users can generate presentations, conduct multi-step data analysis, and send follow-up communications without needing technical expertise. The system connects to both structured and unstructured data sources, including internal company databases and third-party tools, while maintaining strict access controls to ensure governance and compliance.
The platform now includes expanded integrations with widely used enterprise tools such as Google Workspace, Jira, and Salesforce, including Slack. Snowflake also revealed that an iOS version of Snowflake Intelligence is expected to enter public preview soon, signaling a push toward more flexible, mobile-first workflows. Additionally, the platform is designed to become more personalized over time, learning from user behavior and allowing workflows to be saved and shared across teams.
For developers, Snowflake is enhancing Cortex Code, a platform focused on coding, orchestration, and AI-driven development workflows. New integrations now support external data sources such as AWS Glue, Databricks, and PostgreSQL, allowing teams to build more complex and connected applications. Cortex Code also supports communication with other AI models through protocols like Model Context Protocol (MCP) and Agent Communication Protocol (ACP).
Further updates include a Visual Studio Code extension currently in private preview, as well as a planned plugin for Claude Code. Snowflake has also released an Agent Software Development Kit (SDK) for Python and TypeScript, enabling developers to embed AI capabilities directly into their own applications.
The company is also introducing Cloud Agents within its browser-based interface, Snowsight. A new “Plan Mode” feature allows users to preview and approve AI-generated workflows before execution, adding an extra layer of control. Snowflake is also working on improving transparency by allowing users to view how AI systems process and validate information during longer workflows.
According to Snowflake, more than 9,100 customers are already using its AI products on a weekly basis, with over half of its customer base adopting Snowflake Intelligence and Cortex Code within six months of launch. The updates were partly shaped by feedback from Project SnowWork, a recent initiative aimed at gathering user insights and improving platform capabilities.
With its dual focus on business users and developers, Snowflake is positioning itself as a comprehensive AI platform that integrates seamlessly into existing enterprise systems. By expanding connectivity, improving usability, and strengthening governance features, the company aims to accelerate AI adoption while addressing the growing need for secure and scalable deployment.
