Snowflake, the AI Data Cloud company, announced that Snowflake Intelligence is now generally available to Snowflake’s global customer base of more than 12,000 organizations. Snowflake Intelligence is an enterprise intelligence agent that provides every employee with the ability to answer complex questions in natural language and puts insights at their fingertips. With a single question, Snowflake Intelligence can facilitate deep research and suggest solutions to previously difficult and time-consuming business problems allowing users to move beyond the “what” to the critical “why.” In the past three months alone, more than 1,000 Snowflake customers have already leveraged Snowflake Intelligence to deploy over 15,000 AI agents across their businesses¹, and that number continues to grow. To help global enterprises further democratize access to their data, Snowflake also announced new innovations that empower users to easily deploy agentic AI at scale, so they can actually drive ROI from their AI investments.
“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: All Your Knowledge. One Trusted Enterprise Agent.
Getting answers to critical business questions like, “How are our sales trending?” has always been slow and difficult, with data scattered across various business systems, spreadsheets, emails, and static dashboards. Snowflake Intelligence puts an end to this frustration, reinventing how organizations use, understand, and take action from data. Instead of relying on data teams to write complex code, any employee can now securely talk to all their company’s data in one place. This reduces the guesswork in decision-making, fostering a new culture of data across the enterprise. The combined power of human expertise and Snowflake Intelligence is fundamentally transforming how global organizations like Cisco, Fanatics, Toyota Motor Europe, TS Imagine, USA Bobsled/Skeleton Team, and Wolfspeed get work done across the enterprise.
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Snowflake Intelligence unifies all enterprise data sources from structured tables and unstructured documents to data from third-party apps like Salesforce Data 360 via Zero Copy. Unlike other point solutions on the market, Snowflake Intelligence enables deeper analysis across multimodal data to serve as a thought partner for understanding nuances and relationships across data. Built for reliability and scale, it’s enterprise-ready with trust, governance, and security at the forefront, allowing employees to confidently access and analyze data through natural language while helping ensure that confidential information stays confidential. Powered by industry-leading AI models from providers like Anthropic, Snowflake Intelligence is transforming complex queries into conversational insights, ultimately democratizing data and AI access across the enterprise.
New innovations from Snowflake’s AI Research Team make Snowflake Intelligence up to three times faster on text-to-SQL queries, delivering real-time answers with the same trusted accuracy. To increase the trustworthiness and accuracy of responses, the team also pioneered a novel evaluation method coined the Agent GPA (Goal, Plan, Action) framework that catches up to 95% of errors when tested on standard datasets, achieving near-human levels of error detection.
Snowflake Provides Choice and Flexibility to Deploy Customized Data Agents
In order to deliver AI apps and agents at scale, enterprises need the choice and flexibility to build solutions that actually drive value and impact in their real-world environments. Snowflake’s new AI innovations provide the building blocks to help organizations do just that:
- Build Custom, Multi-Agent Solutions: Cortex Agents (now generally available) enables developers to build data agents that can plan tasks, use tools, and generate responses from both structured and unstructured data. Additionally, Snowflake’s managed Model Context Protocol (MCP) Server (now generally available) serves as a secure, standardized bridge to external AI agents likeAnthropic, Cursor, and Salesforce’s Agentforce, eliminating custom integration overhead and simplifying enterprises’ application architecture.
- Extend the Knowledge and Interoperability of Agents in Snowflake: Users can leverage Cortex Knowledge Extensions and Sharing of Semantic Views (now generally available) to enrich AI agents with trusted data from an ecosystem of providers including FactSet, IPinfo, and MSCI.
Source: Snowflake
