Amazon (AMZN) reportedly in talks to buy AI startup Decart for around $7 billion, a month after Anthropic walked away

Amazon logo above the text: Reportedly in talks to buy AI startup Decart

Key points

  • A spelling mix-up with a public company
  • Decart already runs on Amazon's chips
  • What Decart's software actually does

Amazon (AMZN) is in talks to acquire Decart, an AI startup whose software makes AI models run faster on different chips, in a deal that could value Decart at around $7 billion, according to The Wall Street Journal. A deal could come soon if the talks hold and no other bidder emerges.

At least one report on Sunday spelled the startup's name as Descartes. Decart has no connection to Descartes Systems Group (DSGX), a Canadian logistics software company listed on the Nasdaq.

Decart was valued at nearly $4 billion in May, based on PitchBook data, up from $3.1 billion when it raised $100 million in August 2025. Amazon and Decart didn't respond to Reuters' requests for comment on Sunday.

Decart already works with Amazon

Decart raised $300 million on May 18 in a round led by Radical Ventures, with Nvidia (NVDA) joining as a new investor. Decart's announcement called Amazon "one of Decart's strategic customers."

Decart also has a commercial agreement and a joint sales effort with Amazon Web Services. Its live video model, Lucy 2, runs on Trainium3, Amazon's in-house AI chip, according to the company. Nafea Bshara, a vice president at Amazon's chip design unit, Annapurna Labs, said in the announcement that Decart was "among the first in the world to optimize on Trainium3."

In September, Amazon picked Qualcomm (QCOM) to design custom AI inference chips for its data centers.

Decart sells chip software and video models

Decart's main infrastructure product is the Decart Optimization Stack, or DOS. The company says DOS speeds up AI training and inference on Nvidia GPUs, Google TPUs, and Amazon Trainium chips, and it licenses the software to cloud providers and AI labs. Decart says its latest stack can process more than 1,600 tokens a second for AI agents. The announcement doesn't provide enough detail to compare that figure directly with competing systems.

Decart also builds two models on top of DOS. Lucy edits live video in real time, and Oasis generates simulated environments used to train and test robots and self-driving systems. Dean Leitersdorf is Decart's CEO, and he co-founded the company with Moshe Shalev.

Anthropic walked away last month

Anthropic, which Amazon has backed with about $8 billion, explored buying Decart in August in a deal that could have been worth about $6 billion. Anthropic dropped the pursuit in September after doing due diligence.

Amazon shares closed at $262.43 on Friday, October 9.

Frequently asked questions

Is Amazon buying Decart?

Amazon is in talks to acquire AI startup Decart in a deal that could value the company at around $7 billion, The Wall Street Journal reported on October 11, 2026. Neither company has announced a deal, and Amazon and Decart did not respond to Reuters' requests for comment.

What does Decart do?

Decart makes the Decart Optimization Stack, or DOS, software that it says speeds up AI training and inference on Nvidia GPUs, Google TPUs, and Amazon Trainium chips. It also builds Lucy, a model that edits live video in real time, and Oasis, which generates simulated environments for robots and self-driving systems.

Is Decart the same as Descartes?

No. At least one report on October 11, 2026, misspelled the startup's name as Descartes. Decart is an AI startup and has no connection to Descartes Systems Group (DSGX), a Canadian logistics software company.

Why did Anthropic walk away from Decart?

Anthropic explored buying Decart in August 2026 in a deal that could have been worth about $6 billion, then dropped the pursuit in September after due diligence, Bloomberg reported.

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Dennis Singleton
Dennis Singleton

Dennis Singleton was born in Australia and later moved to the United States. He has spent years following the markets, but what keeps his attention is how AI is built. He writes about the companies behind the technology, from semiconductor designers and advanced packaging to photonics, memory, networking, and the hardware powering modern AI. His approach starts with filings, earnings, and industry research, then translates the important details into clear, straightforward analysis without unnecessary hype.