Anthropic in talks to acquire Decart AI for record $6 billion: What We Know

Anthropic in talks to acquire Decart AI for record $6 billion: What We Know

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Anthropic in talks to acquire Decart AI for record $6 billion: What We Know

Anthropic is in preliminary talks to acquire Decart AI, an Israel-based artificial intelligence startup, for approximately $6 billion. If finalized, it would mark the largest acquisition in Anthropic’s history.

Decart specializes in AI infrastructure, optimization stacks (such as its DOS training/inference platform), and software designed to drastically lower training costs by improving chip efficiency.

The acquisition would help Anthropic scale its existing infrastructure to handle surging demand for Claude.

Beyond optimization, Decart is known for building advanced “world models” and real-time video generation technology such as its Lucy and Oasis models capable of modifying live video feeds and simulating interactive physical environments.

The talks come as Anthropic prepares for a widely anticipated initial public offering (IPO).

Decart-backed by major investors including Nvidia and Radical Ventures was valued at nearly $4 billion following a $300 million funding round in May.

Sources close to the negotiations emphasize that discussions are still tentative and the deal has not yet been finalized.

According to the company’s website, Decart’s Lucy model can edit live video in real time.

It has also developed Oasis, a model that generates simulated environments to train and test robotics and autonomous-driving systems.

The deal is in an early stage, and if completed, Decart’s team would join Anthropic’s inference and performance organization, the source added.

Decart said in May it raised $300 million in a funding round led by Radical Ventures, with Nvidia joining as a new investor.

The deal comes as Anthropic prepares for a mega IPO, moving aggressively to grow its computing power and overcome capacity constraints for its services.

The company said last week it was hiring engineers with experience across the hardware and software stack to help co-design custom chips and AI models that can make Claude run faster and more efficiently.




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