DDecart.ai builds an AI infrastructure platform that speeds up training and real-time inference for large generative models. It serves developers and enterprises by providing access to advanced AI capabilities to train foundational interactive models and deliver real-time generative experiences, such as interactive video content and AI-generated games. The platform works by enabling licensing and subscription access to its tools, allowing users to train models and run inferences efficiently in real time, effectively turning user inputs into dynamic environments. Decart differentiates itself through its focus on real-time generative interactivity and real-time training/inference efficiency for large models, supported by strong funding from notable investors. The company’s goal is to advance real-time generative technology and empower customers to create immersive, interactive AI-driven experiences at scale.
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Industries
Company Size
51-200
Company Stage
Acquired
Total Funding
$453M
Headquarters
San Francisco, CA
Founded
2023
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Total Funding
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Decart's Lucy 2.6 pushes real-time AI video into commercial use. 12 Nov 2026 Filed under Decart has released Lucy 2.6, the successor to its real-time AI video model. The update is all about enhancing the quality of AI-transformed live video streams, introducing sharper aesthetics, more natural object placement and more faithful reproduction of reference images. Lucy 2.6 is live now on the Decart platform via its API platform and a free demo, the company has announced. The new rollout this summer's release of Lucy 2.5, which introduced real-time visual effects in livestreams, paving the way for some entirely new video applications. According to Decart, Lucy 2.6 sticks more closely to what users ask for, whether they describe an edit, upload a reference image or combine the two. Characters now look more like their reference images, with more accurate faces, proportions and materials. Lighting, lip sync and motion are also improved, in both photorealistic and animated styles. Outfits and unusual garments keep their fit and detail as the stream runs, while products and props added to a scene match the reference in detail, material and proportions. From demo to deployment. The new version of Lucy has already been put to work in the real world. Decart partnered with the mixed-reality startup The Famous Group to add spooky, Halloween-style real-time special effects to fan camera footage on the screens at a recent Colorado Avalanche home game. The transformations ran live, on footage already going out to an audience, rather than being added in post-production. For broadcasters, that points to a way of making live coverage more interactive, without the overhead of traditional video rendering. Retail is a second front. Decart teamed up with LOOOK.AI to create a virtual try-on installation at Under Armour's Oxford St. store in London. Powered by the Lucy model, it let passers-by see how they'd look wearing an array of garments sold by the brand. With Lucy 2.6 keeping clothing and products closer to their references, the same approach is carrying over to live shopping streams, where sellers show off products without needing physical samples. Decart's Delulu Stream app puts Lucy in the hands of livestreamers, who can stream as a character while keeping their own motion and expression, swap outfits or products mid-stream, redesign their set, or let viewers request effects in real time. What still has to improve. Lucy 2.6 is an incremental upgrade, and Decart says it is already working on the next version of the model. The gap it is closing is fidelity: whether an edited face, garment or product holds up closely enough that viewers stop noticing the edit. That matters most in commerce. A live shopping stream where viewers can ask to see a different color, a different fit or a closer look at a product only works if what they see matches what they would receive. Scale is the other open question. A single store installation or a one-off broadcast shows the technology works live. Running it across thousands of simultaneous streams, each tailored to its audience, is a harder test. Disclosure will matter too, as AI-altered presenters and characters become harder to tell apart from the real thing. Real-time video generation has come a long way in a short time. If it keeps progressing at this pace, the limiting factor will soon be less the technology underneath it than the imagination of the people using it.
Amazon in talks to buy AI startup Decart for $7b. Amazon is in talks to buy Decart, an AI startup backed by Nvidia, for about US$7 billion, according to people familiar with the matter. Decart develops AI models for video editing and simulated environments. It was valued at nearly US$4 billion in May, according to PitchBook data. Anthropic decided last month not to pursue an acquisition after due diligence. It had explored a potential US$6 billion deal in August. Decart raised US$300 million in May in a funding round led by Radical Ventures, with Nvidia joining as a new investor. The company's Lucy model edits live video in real time. Its Oasis model generates simulated environments to train and test robotics and autonomous-driving systems, a possible fit with Amazon's Zoox robotaxi business, whose system must predict everything. Recent Amazon developments. Stay updated on the go with our mobile app. Get latest insights with smoother, more personalized experience through TIA mobile app. How would you feel if you could no longer use Tech in Asia? Share, tag us, and land on our Wall of!
Amazon plans to acquire AI startup Decart for $7 billion after Anthropic considered bid. TradingKey 2 hours ago I'm LongbridgeAI, I can summarize articles. Amazon is in talks to acquire AI startup Decart for up to $7 billion, surpassing a previous $6 billion bid from Anthropic. Decart specializes in software that helps developers switch between different AI chips and develops 'world models' for simulation. This acquisition aligns with Amazon's strategy to boost its AWS Trainium chip ecosystem and compete with Nvidia. The deal remains unannounced and subject to negotiation. TradingKey - Amazon (AMZN) is seeking to further expand its footprint in the AI infrastructure sector through the acquisition of AI startup Decart. According to a Wall Street Journal report citing people familiar with the matter, the two sides are in talks regarding an acquisition that could value the startup at up to $7 billion. If negotiations proceed smoothly and no other bidders join, a deal could be reached in a relatively short timeframe. However, neither party has officially announced an agreement at this point. Headquartered in San Francisco, Decart's core technologies include software tools that help developers switch between different AI chips. As AI companies scramble to secure computing resources, chip supply and computing costs have become crucial factors affecting model development and deployment. Software capable of adapting to different chips helps developers reduce reliance on a single hardware platform while offering companies more options to flexibly manage computing resources. The potential acquisition is closely aligned with Amazon's strategy of developing its own AI chips. Amazon Web Services (AWS) is advancing its proprietary Trainium chip series to reduce AI computing costs and compete in the GPU market dominated by Nvidia (NVDA). AWS reportedly provided Decart with early access to its Trainium3 chips as early as 2025. Their prior technical collaboration set the stage for Amazon to further evaluate Decart's software capabilities. Beyond chip-adaptation technology, Decart is also developing AI "world models" named Lucy and Oasis to generate and simulate three-dimensional real-world environments. This technology enables AI systems to generate scenes and simulate physical processes in virtual environments, offering new development directions for gaming, content generation, and other applications. By acquiring Decart, Amazon stands to gain both chip-software adaptation capabilities and related AI model technologies, further refining its own AI technology ecosystem. Founded in 2023, Decart was co-founded by three Israeli engineers: Dean Leitersdorf, Orian Leitersdorf, and Moshe Shalev. According to PitchBook data, the company has previously raised more than $400 million from investors including Sequoia Capital, Benchmark, and Radical Ventures. In May of this year, Decart was valued at nearly $4 billion. If the transaction is ultimately completed at a valuation of around $7 billion, its value would mark a significant increase from its previous funding round. Amazon is not the only major AI company expressing interest in acquiring Decart. According to previous reports, Anthropic had held acquisition talks with Decart, with a potential deal value of around $6 billion, and conducted due diligence before abandoning the plan in September of this year. Now, Amazon's pursuit of negotiations underscores the growing trend of AI companies competing for critical technology and infrastructure. Due to copyright restrictions, please log in to your Longbridge account to view this content. Thank you for your understanding and support of licensed content.
The San Francisco company’s software makes it easier for developers to switch between different AI chips.
Anthropic bails on $6 billion Decart AI acquisition ahead of planned IPO. Anthropic has abandoned plans to acquire artificial intelligence (AI) infrastructure startup Decart AI in a deal previously pegged at about $6 billion. The decision comes after the Claude chatbot creator performed extensive due diligence on the Israeli-founded company. While the acquisition talks have dissolved, the two firms may still pursue alternative commercial partnerships, according to Bloomberg. "Walking away sets a ceiling on what a frontier lab will pay to own compute efficiency instead of contracting for it. Efficiency gains at the silicon and inference layer move fast enough that acquiring them outright locks in today's constraint at tomorrow's price," said Mitch Ashley, vice president and practice lead for Software Lifecycle Engineering and AI-Native Software Engineering at The Futurum Group. "Watch whether the two sign a commercial agreement instead. That is the real tell," Ashley said. "Enterprises signing multi-year AI commitments should treat vendor cost curves as provisional and price the option to move." Representatives for Anthropic and Decart declined to issue official statements. "We don't know exactly why Anthropic walked away. But because it happened after due diligence, it's reasonable to assume that something about the tech, economics, team, or fit did not support the price," said Stephanie Walter, practice leader for AI Stack & Enterprise Application Development at HyperFRAME Research. "Notice that the companies may still work together. This suggests Anthropic may see value in Decart's technology while deciding it doesn't need to own the company." "To me, the interesting piece is that model companies are looking across the AI stack for ways to improve their economics," Walter said. "Building a better model is only part of the challenge. Running it efficiently and reliably matters too." The multibillion-dollar deal was originally designed to enhance Anthropic's computing efficiency as the company scales operations to meet skyrocketing enterprise demand. Decart, which was valued at nearly $4 billion following a $300 million funding round in May backed by NVIDIA Corp., Sequoia Capital, and Benchmark, specializes in chip-optimization software. Its proprietary Decart Optimization Stack (DOS) allows AI models to run more efficiently across varied hardware platforms, including chips from NVIDIA, Amazon.com Inc., and Google. Decart also develops advanced world models such as Oasis and Lucy, the latter capable of real-time video transformation for e-commerce, gaming, and livestreaming applications on platforms like eBay Inc., TikTok, and YouTube. Under CEO Dario Amodei, Anthropic has historically shied away from large-scale corporate acquisitions, choosing instead to channel capital directly into raw computing infrastructure. Ahead of a highly anticipated initial public offering, the San Francisco-based firm has been securing massive multibillion-dollar cloud computing and data-center capacity agreements - including recent commitments with Lambda, Nscale, Fluidstack, and SpaceX - as it seeks to achieve a market valuation on par with top-tier technology giants. The breakdown of the acquisition underscores broader macroeconomic and regulatory headwinds facing high-stakes AI transactions. Cross-border acquisitions involving critical semiconductor capabilities, advanced algorithm optimization, and foreign technology transfer face elevated oversight from international regulatory bodies. Decart's roots in Israel and its focus on underlying chip infrastructure made the prospective transaction a target for potential national security and foreign investment reviews. Furthermore, the failed transaction unfolds alongside ongoing friction between Anthropic and U.S. defense officials. Although Commerce Secretary Howard Lutnick recently indicated that Anthropic had resolved previous disputes with the federal administration, military leadership maintains a cautious stance. Anthropic previously won a court ruling against the military after Defense Secretary Pete Hegseth restricted the firm from select defense contracts over Anthropic's refusal to allow its Claude models to be deployed for domestic surveillance or fully autonomous weaponry. Despite the court victory, Under Secretary of Defense for Research and Engineering Emil Michael confirmed on social media that the Defense Department's designation of Anthropic as a supply-chain risk remains active across the department and the broader defense industrial base. As Anthropic shifts its focus back toward organic expansion, the company continues its preparations for a public listing targeted ahead of the upcoming U.S. midterm elections, prioritizing massive computational footprint expansions over direct strategic acquisitions.
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Industries
Company Size
51-200
Company Stage
Acquired
Total Funding
$453M
Headquarters
San Francisco, CA
Founded
2023
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