AI data cloud company Snowflake announced a series of product enhancements to help organisations deploy enterprise-grade agentic AI applications faster and more securely.
The company launched Snowflake Intelligence, now generally available to its global customer base of more than 12,000 organisations. The enterprise intelligence agent allows users to access and analyse data through natural language and connect structured, unstructured and semi-structured data from various sources within Snowflake’s secure platform.
“For more than a decade, Snowflake has served as a cornerstone of global enterprises’ data strategies. Our next evolution is about bringing AI to this data, allowing every customer to unlock intelligence that is uniquely their own,” Christian Kleinerman, EVP of product at Snowflake, said. “Our latest enhancements democratise the power of AI so every employee can make smarter and faster decisions.”
Over 1,000 customers, including Cisco, Toyota Motor Europe, TS Imagine and the USA Bobsled/Skeleton Team, have used Snowflake Intelligence in the past three months to deploy more than 15,000 AI agents across their businesses.
Powered by AI models from partners like Anthropic, Snowflake Intelligence converts complex queries into conversational insights. The platform includes the Agent GPA (goal, plan, action) framework to improve the accuracy and trustworthiness of AI outputs.
Snowflake also announced updates to Horizon Catalog and Openflow to help enterprises connect data across clouds and regions without vendor lock-in. Horizon Catalog now supports open APIs from Apache Polaris (Incubating) and Apache Iceberg REST Catalog, enabling unified governance and access management.
Other updates include Interactive Tables and Warehouses (in private preview) for real-time data experiences, near real-time streaming analytics and integration with Oracle for continuous data streaming.
Following its acquisition of Crunchy Data, Snowflake introduced Snowflake Postgres and open-sourced pg_lake, strengthening Postgres integration within its platform.
Snowflake also unveiled new developer tools, including Cortex Code (in private preview), Cortex AISQL (now generally available), Workspaces with Git and VS Code integration, dbt Projects on Snowflake and Snowpark Connect for Apache Spark. These tools aim to help developers build, test, and deploy AI applications faster within a single, governed environment.
Snowflake said the innovations will enable enterprises to unify data, governance, and AI development, accelerating the creation of trusted, scalable and agentic AI applications.
