Data Intelligence Firm Databricks and Anthropic enter 5 year partnership

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Data Intelligence software company Databricks and Anthropic have entered a five-year partnership to integrate Anthropic’s Claude family of AI models into Databricks’ Data Intelligence Platform. The company says that this collaboration will provide Databricks’ 10,000+ enterprise customers with advanced AI capabilities, facilitating the development of AI agents tailored to their specific data and tasks.

It will also give Anthropic a big boost in terms of commercial usage of it’s new Claude model.

Some might remember that it was early in the development of generative AI, that Databricks made big news by developing and releasing its own  AI model DBRX.

DBRX was released in March 2024 as an open-source foundation model with a mixture-of-experts architecture. Earlier, Databricks had notified customers that DBRX model family is set to be retired on April 30, 2025, with Llama-3.1-70B recommended as its replacement for fine-tuning workloads.

But it would seem that this new partnership will provide access to Anthropic’s latest model, Claude 3.7 Sonnet, which is hightly optimized for coding-related tasks. By combining Databricks’ data analytics expertise with Anthropic’s AI models, the comapanies say that their collaboration seeks to simplify the adoption of agentic AI—systems capable of autonomous or semi-autonomous task execution—across various industries.

Speaking about the partnership, Dario Amodei, CEO and co-founder of Anthropic, said “This year, we’ll see remarkable advances in AI agents capable of working independently on complex tasks, and with Claude now available on Databricks, customers can build even more powerful data-driven agents to stay ahead in this new era of AI.”

Databricks’ put out a statement that talked about key benefits of the integration, stating “Customers gain unparalleled end-to-end governance across their data and AI assets, and can automatically enforce proper access controls, set rate limits to manage costs and track lineage throughout the entire AI workflow.”

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