Snowflake, the AI Data Cloud company, has officially launched Snowflake Intelligence, making it available to its global network of more than 12,000 organizations. The enterprise-grade intelligence agent enables every user to ask complex business questions in natural language, transforming data-driven decision-making across industries.
In the last three months alone, over 1,000 customers have already deployed 15,000 AI agents powered by Snowflake Intelligence, and adoption continues to accelerate. With these advancements, Snowflake is empowering organizations to move beyond basic data reporting and uncover the “why” behind business outcomes streamlining research and decision-making.
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“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,” said Christian Kleinerman, EVP of Product, Snowflake. “Snowflake Intelligence makes this possible, democratizing the power of AI so every employee can make smarter and faster decisions, fundamentally changing how our customers will innovate for years to come.”
Reinventing Enterprise Data Access
Traditionally, answering questions such as “How are our sales trending?” required time-consuming processes and fragmented data sources. Snowflake Intelligence eliminates these barriers by allowing any employee to securely interact with all enterprise data in one place without writing a single line of code. This seamless access fosters a data-driven culture, combining human expertise with AI-powered insights.
Organizations including Cisco, Fanatics, Toyota Motor Europe, TS Imagine, USA Bobsled/Skeleton Team, and Wolfspeed are already transforming workflows using Snowflake Intelligence. The solution unifies all enterprise data structured, unstructured, and third-party into a single AI-powered interface. Leveraging Zero Copy integration and industry-leading AI models from partners like Anthropic, Snowflake Intelligence delivers conversational analytics with enterprise-grade trust, governance, and security.
Performance and Reliability
Snowflake’s AI Research Team has enhanced the platform’s efficiency, making text-to-SQL queries up to three times faster while ensuring 95% error detection through its proprietary Agent GPA (Goal, Plan, Action) framework. This innovation delivers near-human accuracy in query evaluation, significantly improving trust and reliability.
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Building Custom AI Agents
Snowflake also announced tools that enable enterprises to build, extend, and deploy custom AI agents at scale. The Cortex Agents and Model Context Protocol (MCP) Server, now generally available, allow developers to create multi-agent solutions that interact with both structured and unstructured data. These capabilities simplify integrations with external AI systems such as Anthropic, Cursor, and Salesforce’s Agentforce, eliminating technical bottlenecks and reducing deployment time.
Additionally, Cortex Knowledge Extensions and Semantic View Sharing let users enrich their AI agents with verified data from trusted providers like FactSet, IPinfo, and MSCI, ensuring deeper interoperability and context awareness.
Industry Leaders Share Their Impact
“Using Snowflake Intelligence, we built an internal GTM AI Assistant that gives our sales and marketing teams a single place to instantly access everything from go-to-market knowledge and customer data to competitive intelligence,” said Anahita Tafivizi, Chief Data and Analytics Officer, Snowflake.
“At Cisco, we’re relentlessly focused on advancing AI-driven intelligence… With Snowflake Intelligence in our toolbox, we’re developing internal AI agents that can integrate and analyze large volumes of data,” added Srini Namineni, SVP and Chief Automation Officer, Cisco.
Similarly, Toyota Motor Europe’s Thierry Martin emphasized that the platform “reduced agent deployment from months to weeks,” while Wolfspeed CIO Priya Almelkar highlighted its impact on productivity and operational excellence: “The future isn’t just data-driven. It’s intelligence-powered.”
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