Databricks and OpenAI Forge $100M Partnership to Revolutionize Enterprise AI

Databricks will bake OpenAI models into its products in $100M bet to spur enterprise adoption | TechCrunch

Databricks said on Thursday that it is incorporating OpenAI's models, including GPT-5, into its data platform as well as its AI product, Agent Bricks, as part of a $100 million multi-year deal that bets on the AI company's ability to bring in enterprise customers. The deal highlights the accelerating race to bring generative AI into the enterprise stack, as companies foresee demand for AI tools that can tap into corporate data securely. Agent Bricks lets organizations build AI apps and agents on top of their enterprise data using a range of AI models. OpenAI's latest models are now part of that menu -- accessible in SQL or via API -- and GPT-5 is being offered as a flagship model for Databricks customers. The news comes nearly two months after Databricks added OpenAI's open-weight models, gpt-oss 20B and gpt-oss 120B, to the platform. Agent Bricks can now measure how accurately the different models perform on specific tasks and fine-tunes accordingly to produce more tailored results. "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," Brad Lightcap, chief operating officer of OpenAI, said in a statement. With this deal, Databricks is betting that enterprise customers will flock to OpenAI's models. Under the terms, the company is on the hook to pay a minimum of $100 million to OpenAI whether or not the AI firm's models generate that much in revenue over the life of the deal. Neither company disclosed how long the agreement will run. If revenue ends up exceeding $100 million, OpenAI will earn more, but if it falls short, Databricks will have to pay the full amount anyway. For Databricks, it means potential downside risk; for OpenAI, it means predictable income at a time when the company is trying to rapidly build out more data centers. The deal is similar to the one Databricks reached with Anthropic earlier this year, setting a revenue target of $100 million over five years. A Databricks spokesperson told TechCrunch that the firm has already seen overwhelming demand from customers, including Mastercard, for native access to OpenAI's models on the platform.

Databricks, OpenAI team up to deliver AI models for enterprise clients

Sept 25 (Reuters) - Analytics firm Databricks said on Thursday it has partnered with OpenAI to integrate the ChatGPT maker's artificial intelligence models into its platforms for enterprise customers. As part of the agreement, OpenAI's AI models will be built directly into Databricks' cloud platform for enterprise data and analytics, as well as its flagship product, Agent Bricks, which helps customers create, test and scale AI apps and agents. The partnership is expected to generate $100 million in revenue, Databricks said. OpenAI has been expanding beyond Microsoft Azure, its long-standing cloud partner, to accelerate growth of its enterprise business and drive broader adoption of its AI tools among corporate customers. For Databricks, the latest deal gives it an edge in the enterprise AI race over listed rival Snowflake (SNOW.N), opens new tab, which is still in the early stages of developing its AI capabilities. "We're seeing overwhelming demand from enterprise customers looking to build AI apps and agents on their data, tailored to their unique business needs," Databricks CEO Ali Ghodsi said. GPT-5 will be a flagship model to more than 20,000 enterprise customers of Databricks, it said. The deal builds on the companies' existing partnership, under which OpenAI leverages Databricks to process AI data, enhancing its products and improving the ChatGPT experience. Databricks was also one of the first to host gpt-oss, OpenAI's open-weight language models, which excel in advanced reasoning. The San Francisco-based company closed a $1 billion funding round earlier this month, securing a valuation of $100 billion, which made it one of the most valuable private companies in the world. Reporting by Harshita Mary Varghese in Bengaluru and Krystal Hu in New York; Editing by Shilpi Majumdar Our Standards: The Thomson Reuters Trust Principles., opens new tab

Databricks commits to $100 million in OpenAI spending as high-valued startups team up in AI

OpenAI operating chief Brad Lightcap said it's the company's first real integration partnership with a business-focused data product vendor. OpenAI and Databricks are two of the most highly valued tech startups on the planet. Now they're working together. Databricks, a data analytics software vendor, said Thursday that it has committed to spending $100 million over multiple years with OpenAI. Databricks is making it easier for customers to connect their data stored in its cloud service with GPT-5, announced in August, and other OpenAI models. OpenAI, which was recently valued by private investors at $500 billion, has become a household name in the years since the launch of its ChatGPT in late 2022. In partnering with Databricks, valued at more than $100 billion in its latest funding round, OpenAI has landed its first formal integration with a business-focused product vendor, said Brad Lightcap, OpenAI's operating chief, in a news conference Wednesday. Lightcap said the company's "aspiration is a multiple" of the $100 million spending commitment in terms of revenue the agreement will generate. Databricks has formed similar partnerships with Google and with Anthropic. But OpenAI is leading the way with more than 700 million people using its ChatGPT assistant, powered by GPT-5, every week. The company was making enterprise more of a focus even before the Databricks deal. Microsoft has been bringing OpenAI models into businesses, governments and schools. And OpenAI has been building up its own sales function. Databricks CEO Ali Ghodsi said the partnership will simplify the process for its customers when it comes to accessing OpenAI's models, which they've already been using in large numbers. Until now, if a Databricks customer wanted to tap a proprietary OpenAI model to help analyze internal data, it would have required extensive configuration, as well as legal and security sign-off. "The key difference here is that any database customer automatically now, just by clicking in the UI, can start using this product," Ghodsi said, referring to the user interface. Ghodsi said the price is similar to what it would cost if the user went directly to OpenAI. Greg Ulrich, Mastercard's chief AI and data officer, said he's optimistic about the integration. "It enables opportunity for research and targeted experimentation, using AI to solve new problems, bringing value to customers, enhancing employee productivity, in an environment that we trust, that we know," Ulrich said. Databricks said earlier this month that it now generates more than $4 billion in annualized revenue, growing over 50% year over year, with $1 billion coming from AI products. The company's $100 billion valuation was announced alongside a $1 billion funding round. OpenAI and Databricks ranked No. 2 and No. 3, respectively, on CNBC's 2025 Disruptor 50 list.

Databricks, OpenAI team up with $100M deal to simplify enterprise AI deployment - SiliconANGLE

Databricks, OpenAI team up with $100M deal to simplify enterprise AI deployment Databricks Inc. and OpenAI announced today that they have created a multiyear, $100 million partnership, making OpenAI's latest models, including GPT-5, natively available to the more than 20,000 Databricks customers worldwide. The deal is meant to simplify the deployment of artificial intelligence agents for enterprises, enabling them to build production-ready AI applications directly on top of their governed data within the Databricks Data Intelligence Platform. Databricks and Anthropic PBC struck a similar deal in March. Under the agreement, OpenAI's models will be tightly integrated with Databricks' AI development environment, called Agent Bricks. That provides organizations with a single platform to develop, evaluate and scale up AI agents -- systems that can perform tasks autonomously with little or no human supervision -- without the complexity of moving data or managing separate tools. Databricks customers will be able to run large language models on their existing enterprise data, accessible via SQL or application programming interface, and deploy them securely at scale with built-in governance and observability controls. Both companies emphasized that the deal is designed to accelerate enterprise AI adoption by making it easier for enterprises to move from AI experimentation to full-scale production deployments. "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," OpenAI Chief Operating Officer Brad Lightcap said in a statement. The companies described the collaboration as a way to bridge two longstanding enterprise challenges: the need for advanced AI capabilities and the strict requirements for data security and accuracy. By keeping data within existing governance frameworks, businesses can deploy AI models while adhering to compliance and performance standards. The partnership also promises high-capacity processing power dedicated to running OpenAI's models across customer workloads. Agent Bricks will play a central role in the joint offering. It allows organizations to measure model accuracy with task-specific evaluation methods, fine-tune LLMs for domain-specific tasks and automate workflows across a variety of use cases. With GPT-5 integrated, the companies said businesses can expect faster development cycles and more reliable AI outputs. Another key component of the partnership is Databricks' Unity Catalog, which is used for data and AI model governance. It can help data lineage, control access and enforce compliance while scaling AI deployments across departments and geographies, Databricks said. Observability features also help teams monitor performance, accuracy and security. The partnership builds on an existing collaboration between the two firms. OpenAI already uses Databricks' infrastructure for processing AI data to improve product performance and was among the first to release its open-weight model, gpt-oss, on Databricks.

Databricks and OpenAI Strike $100M Deal to Bring GPT-5 to Enterprises | AIM

The partnership aims to bring GPT-5 and frontier AI models natively to 20,000+ enterprises. Databricks and OpenAI have entered into a multi-year, $100 million partnership to integrate OpenAI's latest models directly into the Databricks Data Intelligence Platform and its flagship product, Agent Bricks. The move will make GPT-5 and other frontier models natively available to more than 20,000 Databricks customers across cloud environments. The collaboration aims to enable enterprises to build production-grade AI applications and agents on governed datasets, eliminating the friction of data duplication and complex integration. Through Agent Bricks, businesses will be able to design, evaluate, and scale AI agents that meet enterprise standards of accuracy, security, and governance. Ali Ghodsi, co-founder and CEO of Databricks, said demand for customised enterprise AI is accelerating, in a statement. "This partnership makes it easier for enterprises to securely leverage their data and OpenAI models at scale with best-in-class governance and performance." Brad Lightcap, COO of OpenAI, added that the deal places advanced AI where business data already resides. "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," he said in the statement. According to the company, early adopters like Mastercard view the collaboration as a means to scale AI securely. Greg Ulrich, chief AI and data officer at Mastercard, noted that the partnership provides them with the chance to create reliable AI agents that leverage the most recent OpenAI models. Beyond customer access, the agreement also formalises joint technical work. Databricks and OpenAI teams will co-develop optimisations for enterprise workloads while ensuring observability and compliance through Databricks' Unity Catalog. The deal builds on existing ties, including OpenAI's use of Databricks to process AI training data and Databricks' role (one of the deployment partners) in hosting gpt-oss, OpenAI's open-weight model.

Databricks, OpenAI team up to deliver AI models for enterprise clients - The Economic Times

Analytics firm Databricks said on Thursday it has partnered with OpenAI to integrate the ChatGPT maker's artificial intelligence models into its platforms for enterprise customers. As part of the agreement, OpenAI's AI models will be built directly into Databricks' cloud platform for enterprise data and analytics, as well as its flagship product, Agent Bricks, which helps customers create, test and scale AI apps and agents. The partnership is expected to generate $100 million in revenue, Databricks said. OpenAI has been expanding beyond Microsoft Azure, its long-standing cloud partner, to accelerate growth of its enterprise business and drive broader adoption of its AI tools among corporate customers. For Databricks, the latest deal gives it an edge in the enterprise AI race over listed rival Snowflake, which is still in the early stages of developing its AI capabilities. "We're seeing overwhelming demand from enterprise customers looking to build AI apps and agents on their data, tailored to their unique business needs," Databricks CEO Ali Ghodsi said. GPT-5 will be a flagship model to more than 20,000 enterprise customers of Databricks, it said. The deal builds on the companies' existing partnership, under which OpenAI leverages Databricks to process AI data, enhancing its products and improving the ChatGPT experience. Databricks was also one of the first to host gpt-oss, OpenAI's open-weight language models, which excel in advanced reasoning. The San Francisco-based company closed a $1 billion funding round earlier this month, securing a valuation of $100 billion, which made it one of the most valuable private companies in the world.

Databricks, OpenAI team up to deliver AI models for enterprise clients

(Reuters) -Analytics firm Databricks said on Thursday it has partnered with OpenAI to integrate the ChatGPT maker's artificial intelligence models into its platforms for enterprise customers. As part of the agreement, OpenAI's AI models will be built directly into Databricks' cloud platform for enterprise data and analytics, as well as its flagship product, Agent Bricks, which helps customers create, test and scale AI apps and agents. The partnership is expected to generate $100 million in revenue, Databricks said. OpenAI has been expanding beyond Microsoft Azure, its long-standing cloud partner, to accelerate growth of its enterprise business and drive broader adoption of its AI tools among corporate customers. For Databricks, the latest deal gives it an edge in the enterprise AI race over listed rival Snowflake, which is still in the early stages of developing its AI capabilities. "We're seeing overwhelming demand from enterprise customers looking to build AI apps and agents on their data, tailored to their unique business needs," Databricks CEO Ali Ghodsi said. GPT-5 will be a flagship model to more than 20,000 enterprise customers of Databricks, it said. The deal builds on the companies' existing partnership, under which OpenAI leverages Databricks to process AI data, enhancing its products and improving the ChatGPT experience. Databricks was also one of the first to host gpt-oss, OpenAI's open-weight language models, which excel in advanced reasoning. The San Francisco-based company closed a $1 billion funding round earlier this month, securing a valuation of $100 billion, which made it one of the most valuable private companies in the world. (Reporting by Harshita Mary Varghese in Bengaluru and Krystal Hu in New York; Editing by Shilpi Majumdar)