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The Economic Times
The Economic Times

Anthropic in talks to buy startup Decart AI for $6 billion

Anthropic PBC is in talks to buy the artificial intelligence startup Decart AI for about $6 billion, according to people familiar with the matter.

The deal has not been finalized and talks could fall through, said some of the people, who asked not to be identified discussing private negotiations. If finalized, it would mark Anthropic’s largest known acquisition ahead of a hotly anticipated initial public offering.

Decart’s software can reduce the cost of training artificial intelligence models by helping chips work more efficiently. That technology could help Anthropic’s existing infrastructure absorb more demand, according to a person familiar with the matter. Anthropic, which rarely makes large acquisitions, has been spending heavily on computing power to develop new products and serve customers.

Decart’s team would join Anthropic’s inference and performance organization, one of the people said.

Decart also focuses on generative video, using so-called world models capable of modifying live video feeds instantly — work that is indicative of high-quality infrastructure talent, the person said.

Representatives for Anthropic and Decart declined to comment.

Decart said in May it raised $300 million in a funding round led by Radical Ventures, with Nvidia Corp., Atreides Management, Valor Equity Partners and Adobe Ventures joining the round. Prior investors Sequoia Capital, Benchmark and Zeev Ventures also participated. The round valued the startup at almost $4 billion, the Wall Street Journal reported, up from $3.1 billion in August 2025.

The startup was founded in 2023 by three Israeli engineers, brothers Dean and Orian Leitersdorf and Moshe Shalev.

OpenAI and Anthropic have each committed to spend tens, if not hundreds, of billions of dollars on data centers stocked with costly chips. Increasingly, the firms are relying on hardware from a mix of providers to meet their surging computing needs.

Those expenses, which they say are necessary to build and support cutting-edge artificial intelligence models, may also weigh on the AI startups as they prepare to make their Wall Street debuts in the coming months.

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