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Enterprises are rapidly adopting agentic AI to democratize data access and accelerate decision-making across their organizations. To meet this demand, Snowflake has announced the general availability of Snowflake Intelligence, an enterprise intelligence agent designed to put the power of AI at every employee's fingertips. This technology allows users to ask complex business questions in natural language and receive deep, analytical answers, moving beyond simple data retrieval to uncover the critical "why" behind trends. The platform's impact is already significant, with over 1,000 Snowflake customers having deployed more than 15,000 AI agents to transform their operations.
Snowflake Intelligence, an enterprise AI agent, is now generally available.
It allows users to query complex data using natural language.
Over 1,000 customers have already deployed 15,000+ AI agents.
New features include Cortex Agents and a managed MCP Server.
The platform unifies structured and unstructured data for deeper analysis.
It is built with enterprise-grade governance, security, and trust.
Snowflake Intelligence addresses a fundamental challenge in modern business: the difficulty of getting timely answers from data scattered across numerous systems. By securely unifying an organization's data—from structured tables and unstructured documents to third-party app data via Zero Copy—the platform acts as a conversational thought partner for every employee. This eliminates the traditional bottleneck of relying on data teams to write complex code, fostering a new culture of data-driven decision-making. Built on Snowflake's secure and governed platform, it ensures confidential information remains protected while providing broad access.
To empower enterprises to build their own tailored AI solutions, Snowflake is providing key building blocks. Cortex Agents are now generally available, enabling developers to create sophisticated data agents that can plan tasks and use tools. Furthermore, Snowflake's managed Model Context Protocol (MCP) Server serves as a secure, standardized bridge to external AI agents from partners like Anthropic and Salesforce, simplifying integration and application architecture. Users can also extend agent knowledge with Cortex Knowledge Extensions, enriching AI with trusted data from providers like FactSet and MSCI.
The transformative effect of Snowflake Intelligence is being felt across a diverse range of global customers. Thierry Martin, Head of Data and AI at Toyota Motor Europe, reported, "Snowflake Intelligence has transformed our development timeline, reducing agent deployment from months to weeks." At Wolfspeed, Priya Almelkar, Chief Information Officer, noted transformative results, including "troubleshooting equipment issues in two minutes instead of two hours." This sentiment is echoed by leaders at Cisco, Fanatics, and the USA Bobsled/Skeleton team, who are leveraging the platform to accelerate analytics, enhance fan experiences, and gain a competitive edge.
The general availability of Snowflake Intelligence marks a pivotal moment in the enterprise adoption of agentic AI. By providing a secure, powerful, and intuitive platform that turns complex data into conversational insights, Snowflake is enabling organizations to fundamentally change how they operate. This shift from data-driven to intelligence-powered operations unlocks new levels of productivity, innovation, and competitive advantage for businesses in every sector.
Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,000 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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