Databricks and OpenAI have announced a multi-year partnership that will make OpenAI models natively available within the Databricks Data Intelligence Platform and Databricks’ flagship AI product Agent Bricks. OpenAI models will be available to all 20,000+ Databricks customers across clouds. The two companies also signed a multiyear, $100 million deal to sell artificial intelligence services to large business customers, so that it will be easier for them to build AI agents with their own data. With Agent Bricks, organizations can build, evaluate and scale production-grade AI apps and agents on their governed enterprise data leveraging OpenAI latest models, including GPT-5, featuring state-of-the-art performance across coding, math, writing, and reasoning. Under this partnership, GPT-5 will be a flagship model for all Databricks customers.
“Thrilled to share that we are partnering with OpenAI to bring their flagship models natively to products like Agent Bricks, allowing customers to use GPT5 with one-click on their data, securely,” said Ali Ghodsi, Co-founder and CEO of Databricks. “This deep partnership also enables OpenAI to leverage Databricks to improve the quality of the ChatGPT experience! Very excited!”
Businesses need AI agents that can analyze and act on their enterprise data, automate complex workflows and deliver reliable insights while meeting strict standards for accuracy, security and governance. Developing AI agents can often require copying data, juggling multiple tools, uncertain evaluation techniques or cost and quality trade-offs. Databricks customers now benefit from GPT-5 and OpenAI advanced natural language processing, reasoning and complex decision-making to build high-quality, governed AI agents using Databricks Agent Bricks.
“We’re seeing overwhelming demand from enterprise customers looking to build AI apps and agents on their data, tailored to their unique business needs,” Ghodsi stated. “This partnership makes it easier for enterprises to securely leverage their data and OpenAI models at scale with best-in-class governance and performance.”
OpenAI had much the same sentiments.
“Enterprise demand for frontier AI is accelerating, and with Databricks, we’re making its deployment even simpler without compromising the high bar for performance and production,” said Brad Lightcap, COO of OpenAI. “Our partnership with Databricks brings our most advanced models to where secure enterprise data already lives, making it easier for businesses to experiment, deploy, and scale AI agents with real impact.”
Databricks customers can now bring OpenAI models directly to their enterprise data – accessible in SQL or via API – to run LLMs at scale, enrich their data and securely build high-quality custom agents. Databricks customers benefit from access to high-capacity processing across the latest OpenAI models. OpenAI models are readily available where enterprise data already lives, requiring no extra setup and no data movement and with guaranteed high-capacity processing.
“At Mastercard, we are focused on delivering AI solutions that make commerce safer, smarter, and more personalized. Agentic solutions also make our internal operations stronger by automating processes and optimizing performance across our systems,” said Greg Ulrich, Chief AI and Data Officer at Mastercard. “For any use case, AI agents come down to three things: quality, scale, and trust. This partnership between Databricks and OpenAI enables us to build on the strong foundations we’ve established with each firm and provides us the opportunity to build trusted AI agents that harness the latest OpenAI models—delivered with the speed, security and scale of the Databricks platform.”
Agent Bricks builds production-ready AI agents by measuring the accuracy of models like GPT-5 and gpt-oss with task-specific evaluation and LLM judges. Agent Bricks then tunes and optimizes the model to deliver high-quality, domain-specific outputs. Customers use the Data Intelligence Platform and Agent Bricks to find and treat diseases earlier, identify ways to become more energy efficient, detect financial fraud, and accelerate application development. In addition, the Databricks Unity Catalogue provides end-to-end governance and responsible AI controls, helping ensure compliance with security, access, and ethical standards –so teams can ship agents into production with confidence.
The Databricks and OpenAI technical teams will work closely together to continually improve and optimize OpenAI models for enterprise use cases, ensuring high performance and rapid iteration for AI workloads. This partnership builds upon the companies’ existing work together, where OpenAI leverages Databricks for the processing of AI data to help generate insights that enhance product quality and elevate the ChatGPT experience. Databricks was also one of the first to host gpt-oss, the OpenAI open weight model.