Snowflake Inc. announced Tuesday the general availability of Snowflake Intelligence, an artificial intelligence (AI) platform that lets employees query company data using conversational language rather than complex code.
The enterprise intelligence agent, now accessible to Snowflake’s more than 12,000 customers worldwide, aims to democratize data access within organizations by enabling any employee to ask questions like “How are our sales trending?” and receive answers drawn from multiple business systems, spreadsheets, and databases.
More than 1,000 companies have already deployed over 15,000 AI agents using the platform during its preview period over the past three months, according to the company.
“Our next evolution is about bringing AI to this data, allowing every customer to unlock intelligence that is uniquely their own,” Christian Kleinerman, executive vice president of product at Snowflake, said in a statement.
The platform addresses a longstanding challenge in corporate environments. Critical business information scattered across various systems typically requires data teams and technical expertise to access and analyze. Snowflake Intelligence consolidates these sources, including structured databases, unstructured documents, and third-party applications like Salesforce, Rosemary DeAragon, global head of retail and travel at Snowflake, said in an interview.
The system incorporates governance and security controls designed to prevent unauthorized access to confidential information while maintaining accessibility for authorized users. It utilizes AI models from providers, including Anthropic to convert natural language queries into data operations.
Snowflake’s AI research team reports the platform now performs text-to-SQL queries up to three times faster than previous iterations. The company also developed what it calls the Agent GPA framework, an evaluation method that reportedly detects up to 95% of errors in standard test datasets.
Alongside Snowflake Intelligence, the company released Cortex Agents, a development framework that enables technical teams to build custom AI agents capable of planning tasks and generating responses from various data types.
The platform also includes a Model Context Protocol (MCP) server that provides standardized connections to external AI agents from companies like Anthropic, Cursor, and Salesforce Inc.
Early adopters include major corporations across multiple sectors.
Cisco Systems Inc. is developing internal AI agents for automation and decision-making, while sports merchandise company Fanatics is using the platform to analyze customer data across its commerce and gaming properties.
“Snowflake Intelligence has transformed our development timeline, reducing agent deployment from months to weeks,” said Thierry Martin, head of data and AI at Toyota Motor Europe, in a statement.
Snowflake itself reports that more than 6,000 of its own employees use an internal assistant built on the platform, which handles over 12,500 queries weekly.
