Databricks and Anthropic have announced a five-year strategic partnership that will embed Anthropic’s cutting-edge Claude AI models natively into the Databricks Data Intelligence Platform, marking a significant step in democratising access to advanced generative AI tools across enterprises.

The collaboration brings Anthropic’s latest Claude 3.7 Sonnet model – touted as the first hybrid reasoning model and a leader in AI-assisted coding – directly to more than 10,000 Databricks customers. The model is now available on AWS, Azure and Google Cloud, enabling organisations to build and deploy domain-specific AI agents using their own data, without the need for costly or cumbersome data migration.

“As demand for data intelligence grows, our partnership with Anthropic allows enterprises to unlock the full potential of their data through AI,” said Ali Ghodsi, Co-founder and CEO of Databricks. “We are bringing the power of Anthropic models directly to the Data Intelligence Platform – securely, efficiently, and at scale.”

At the heart of the partnership is Databricks Mosaic AI, which offers customers the tools to create AI agents that are not only accurate but also governed through a secure, unified platform. Coupled with Anthropic’s Claude models – designed for real-world applications – the integration allows businesses to create agentic applications that can reason over enterprise data, handle multi-step tasks, and deliver custom insights.

“At Anthropic, we’re watching AI transform businesses right now – not as some future promise,” said Dario Amodei, CEO and Co-founder at Anthropic. “With Claude now available on Databricks, customers can build even more powerful data-driven agents to stay ahead in this new era of AI.”

The partnership also leans heavily into responsible AI practices. Anthropic’s commitment to AI safety through its Constitutional AI approach, when paired with Databricks’ Unity Catalog – a unified governance layer – enables enterprises to maintain strict access control, track AI model lineage, and enforce ethical guardrails throughout the AI lifecycle.

Practical use cases abound. In healthcare, agents could streamline clinical trial onboarding, while in retail, AI systems could fine-tune operations by analysing sales trends, inventory levels, and seasonal patterns in real-time. With support for Retrieval Augmented Generation (RAG) and fine-tuning capabilities, enterprises can further tailor Claude models for nuanced, domain-specific applications.

Block (formerly Square) is already leveraging the combined power of Databricks and Claude to scale its internal AI capabilities. “Through our strategic partnership with Databricks, we’re able to leverage the newest and most advanced models, including Anthropic’s Claude,” said Jackie Brosamer, VP of Data and AI Platform Engineering at Block. “This federated approach allows us to scale AI flexibly and securely while maintaining user control.”

Enterprises looking to learn more about the partnership can register for an upcoming webinar featuring Ghodsi and Amodei, where they will share insights on how businesses can securely deploy AI agents over proprietary data.