Snowflake and OpenAI have announced a $200 million collaboration that lets companies run OpenAI models directly inside Snowflake Cortex AI to gain advanced data insights. The partnership enables organizations to analyze both structured and unstructured data using generative AI and natural language.
By integrating OpenAI’s models directly into Snowflake’s AI data platform, companies can build new analytics tools, automate processes, and deploy intelligent AI agents that work with enterprise data without moving it between systems.
Snowflake integrates OpenAI models into Cortex AI
The new collaboration between Snowflake and OpenAI brings OpenAI’s models, including GPT-based models, into Snowflake’s Cortex AI. This integration lets organizations use generative AI natively in the data platform so teams can query and analyze data without exporting it to external services.
Companies can now analyze data in real time and build AI-driven applications directly in the data platform. Snowflake positions the move as a major step toward making AI more accessible to businesses that want to leverage their own data sources for advanced analytics.
Snowflake’s CEO, Sridhar Ramaswamy, notes that organizations today want to build AI solutions on their most valuable asset—their data. The OpenAI integration aims to enable AI-powered services while maintaining stringent requirements for security, governance, and compliance.
Collaboration strengthens enterprise AI analytics
A core feature of the Snowflake–OpenAI collaboration is natural language search across large data sets. Employees can ask questions in plain language and receive automated analyses and insights generated by the platform.
Fidji Simo, OpenAI’s head of applications, says the partnership helps organizations embed AI agents directly into business applications. The goal is to close the gap between AI’s technical capabilities and the actual business value organizations can realize.
Canva and WHOOP among early adopters
Several companies have already started using the integration. Design platform Canva plans to leverage OpenAI models through Snowflake Cortex AI to boost scalability for its AI features and to create new analytics capabilities for users.
WHOOP, which develops health and performance-tracking technology, also sees potential in the partnership. According to Matt Luizzi from WHOOP, the integration could improve their analytics workflows while preserving user data security.
AI agents and new developer tools
The partnership includes developer tools such as the OpenAI Apps SDK and AgentKit. These tools enable companies to build adaptive AI agents that use enterprise data to deliver automated insights and recommendations.
Snowflake says these capabilities can accelerate product innovation by allowing developers to create AI-powered features directly inside the data platform.
Overall, the Snowflake–OpenAI collaboration is expected to speed up how companies use generative AI to analyze large datasets and automate decision-making.
Focus on security and reliability
Snowflake emphasizes that security and governance are central to the platform. The OpenAI integration is protected by Snowflake Horizon Catalog, which gives organizations control over how data is used by AI models and ensures proper access controls and traceability.
The platform also offers a 99.99 percent SLA to ensure enterprises can rely on AI functionality in mission-critical workflows and maintain high availability for business operations.
AI integration in enterprise platforms is accelerating
Global investment in AI platforms continues to grow. Businesses seek solutions that can analyze both structured and unstructured data within a single environment while meeting security and governance requirements.
The Snowflake and OpenAI partnership illustrates how data platforms are evolving into smarter analytics environments where generative AI becomes an integrated part of a company’s digital infrastructure.
By combining a modern data platform with advanced AI models, organizations aim to make it easier to turn data into strategic business insights, streamline analytics processes, and deliver more intelligent, data-driven applications.