Anthropic and Databricks have concluded a five -year commercial and technological partnership, with a target of $ 100 million in cumulative income. This alliance aims to provide companies with an integrated solution to design their own artificial intelligence agents from their internal data.
The heart of the partnership is based on direct interoperability between the Claude d’Anthropic models and the data processing infrastructure of Databricks. The two companies will pool their sales forces and offer a joint offer, targeting major accounts already engaged in AI industrialization procedures.
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- Accelerate productivity without complexifying the infrastructure
- Reduce dependence on closed platforms while keeping data control
- Align IA and business performance in a secure, reliable, and measurable setting.
Ali Ghodsi, CEO and co -founder of Databricks, sums up the challenge: allowing companies to build agents on reliable foundations, with an explicit objective of exceeding 95 % precision for the tasks entrusted to the models, threshold which he considers minimal for a credible substitution for human work.
By associating Claude, one of the most advanced linguistic models on the market, with the analytical ecosystem of Databricks, the two companies intend to structure a coherent environment for the intelligent automation of business processes. This approach intends to meet an increasing demand for fluid integration between language models and business data.
For common customers, including Block (Square parent company), this integration already makes it possible to deploy large-scale internal agents, in particular to automate software development tasks. Several thousand employees already use Claude via the Databricks interface.
This movement is part of a context of strong pressure on the actors of the generative AI to demonstrate the economic viability of their solutions. Anthropic, recently valued at more than $ 61 billion, raised 3.5 billion from strategic partners. For its part, Databricks, valued at 62 billion, is preparing an introduction on the stock market and strengthens its IA portfolio after the acquisition of Mosaicml in 2023.
The objective is clear: structure an industrial standard for corporate AI agents, at the crossroads of proprietary data and controllable language models. It remains to convince that these systems can offer, beyond the technical demonstration, a tangible, measurable, and durable value.
