Snowflake Intelligence: Agentic AI for the Enterprise

11/04/2025 – 09:10 AM

• Across industries, from Fortune 500 companies like Cisco to global enterprises like Toyota Motor Europe, and even sports teams like the USA Bobsled/Skeleton Team, organizations are capitalizing on Snowflake Intelligence to democratize data and AI.
• Cortex Agents, Cortex Knowledge Extensions, and the Snowflake-managed MCP Server offer foundational components needed to craft robust, tailored AI solutions.
• Already, over 1,000 Snowflake customers are leveraging Snowflake Intelligence, deploying over 12,000 AI agents throughout their operations, a number that continues to climb.

No-Headquarters/BOZEMAN, Mont. — Snowflake (NYSE: SNOW), the AI Data Cloud company, announced the general availability of Snowflake Intelligence to its global customer base of over 12,000 organizations. This enterprise intelligence agent empowers users to ask complex questions in natural language, providing insights at every employee’s fingertips. Snowflake Intelligence facilitates in-depth research and suggests solutions to complex business problems, allowing users to understand the “why” behind data insights.

According to Snowflake, more than 1,000 customers have deployed over 15,000 AI agents powered by Snowflake Intelligence in just the last three months. Alongside this announcement, Snowflake unveiled new innovations designed to empower users to deploy agentic AI at scale and drive a tangible return on investment (ROI) from their AI initiatives.

“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.”

Snowflake Intelligence: Centralizing Knowledge with AI

Traditional methods of obtaining answers to critical business questions have been slow and cumbersome, with data fragmented across disparate business systems, spreadsheets, emails, and static dashboards. Snowflake Intelligence aims to streamline this process, enabling organizations to derive value from their data more efficiently.

Instead of relying on data teams to write complex code, employees can securely interact with their company’s data in a single unified platform. This approach reduces guesswork in decision-making and fosters a data-driven culture throughout the enterprise. Companies like Cisco, Fanatics, Toyota Motor Europe, TS Imagine, USA Bobsled/Skeleton Team, and Wolfspeed are already using Snowflake Intelligence to transform their operations.

Snowflake Intelligence unifies various enterprise data sources, from structured tables and unstructured documents to data from third-party applications like Salesforce Data 360 via Zero Copy. The platform enables deeper analysis across multimodal data, offering a more nuanced understanding of relationships within data. Engineered for reliability and scalability, Snowflake Intelligence prioritizes trust, governance, and security, enabling employees to access and analyze data through natural language while ensuring data confidentiality. Powered by AI models from providers like Anthropic, Snowflake Intelligence transforms complex queries into conversational insights, democratizing data and AI access.

Recent advancements from Snowflake’s AI Research Team have boosted Snowflake Intelligence’s text-to-SQL query speed by up to three times. Additionally, the team has pioneered the Agent GPA (Goal, Plan, Action) framework, an evaluation methodology that catches up to 95% of errors on standard datasets.

Flexibility in Deploying Data Agents

Snowflake’s new AI innovations include:

• Custom, Multi-Agent Solutions: Cortex Agents enables developers to build data agents capable of planning tasks, using tools, and generating responses from structured and unstructured data. Snowflake’s managed Model Context Protocol (MCP) Server provides a standardized bridge to external AI agents from providers like Anthropic, Cursor, and Salesforce’s Agentforce.
• Knowledge and Interoperability: Users can leverage Cortex Knowledge Extensions and Sharing of Semantic Views to enrich AI agents with data from providers like FactSet, IPinfo, and MSCI.

Customer Perspectives

• Anahita Tafivizi, Chief Data and Analytics Officer, Snowflake, noted that Snowflake’s internal GTM AI Assistant, powered by Snowflake Intelligence, is used by over 6,000 employees and answers more than 12,500 questions per week.
• Srini Namineni, SVP and Chief Automation Officer, Cisco, stated that Snowflake Intelligence is enabling the development of internal AI agents that integrate and analyze large volumes of data, paving the way for automation and faster decision-making.
• According to Maddy Want, VP of Data, Fanatics, Snowflake Intelligence empowers business users to unlock segmentation, accelerate cross-sell opportunities, and fuel their advertising business.
• Thierry Martin, Head of Data and AI, Toyota Motor Europe, emphasized that Snowflake Intelligence has reduced agent deployment from months to weeks.
• Thomas Bodenski, COO and Chief Data & Analytics Officer, TS Imagine, explained that Snowflake Intelligence and Cortex AI allow users to act on insights faster, saving substantial time and effort.
• Curt Tomasevicz, U.S. Olympic gold medalist and Director of Sport Performance for USA Bobsled/Skeleton, highlighted that Snowflake Intelligence provides trainers, coaches, and athletes with crucial insights for a measurable advantage.
• Priya Almelkar, Chief Information Officer, Wolfspeed, shared that Snowflake Intelligence has enabled faster troubleshooting, information access, and increased productivity.

Market Implications

The introduction of Snowflake Intelligence reflects a broader industry trend toward democratizing AI and making it accessible to a wider range of users within organizations. By enabling employees to interact with data in natural language and automating complex analytical tasks, Snowflake is positioning itself as a key player in the evolving landscape of AI-powered data solutions.

From a technical standpoint, Snowflake’s emphasis on scalability, security, and integration with existing data ecosystems is noteworthy. The platform’s ability to handle diverse data sources and provide comprehensive governance controls could address key concerns for organizations looking to deploy AI solutions at scale.

As Snowflake Intelligence continues to evolve, its adoption rate and impact on business decision-making will be closely monitored. Its ability to drive tangible ROI and empower employees across functions will be critical factors in determining its long-term success.

About Snowflake

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. Learn more at snowflake.com (NYSE: SNOW).