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On Fri, 20 Dec, 12:05 AM UTC
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AI world model startup Decart reels in $32M - SiliconANGLE
Artificial intelligence developer Decart.AI Inc. today announced that it has closed a $32 million funding round led by Benchmark. The Series A investment also included the participation of Sequoia Capital and Zeev Ventures, which provided the startup with $21 million in seed financing a few weeks earlier. The latest cash infusion reportedly boosted Decart's valuation to $500 million. Decart was launched last year by co-founders Moshe Shalev (pictured, left) and Dean Leitersdorf (right). The company has two products. The first is a software tool that helps enterprises boost the efficiency of their AI training and inference clusters. The other offering, the company's main focus, is a video game called Oasis that is powered by a custom foundation model. Oasis is similar to Minecraft from Microsoft Corp., a popular video game, because the underlying model was trained on footage of the latter title. Players can access several three-dimensional virtual worlds, as well as create their own by uploading a reference image. Decart says that the game has amassed millions of users since its release. The company describes the algorithm that powers the game as an AI world model. It's based on two popular neural network designs: the transformer and diffusion architectures. The former technology is used to power large language models, while diffusion models primarily focus on image and video generation tasks. "Decart's innovation makes AI generation not only more efficient but also more accessible for any type of user,×´ said Benchmark general partner Victor Lazarte. "By removing barriers to entry and significantly reducing costs, they are empowering a new wave of creativity and practical applications." Decart says that it generates "millions in revenue" from its enterprise product for optimizing AI clusters. Moreover, it's profitable. Decart will use the funding announced today to hire more workers and enhance its video game technology. Currently, Oasis runs on Nvidia Corp.'s H100 graphics processing units. Decart plans to deploy future versions on silicon from Etched Inc., a startup that raised $120 million in funding earlier this year. The latter company develops AI chips optimized for the transformer architecture that underpins Oasis. Decart plans to power the game using Etched's first chip, Sohu, when it becomes available. The upcoming processor is based on four-nanometer manufacturing technology. Etched is promising "an order of magnitude" better performance than Nvidia's flagship Blackwell B200 graphics card. In addition to enhancing Oasis, Decart will use its new funding round to develop more foundation models. The goal is to make "once-impossible virtual experiences accessible to everyone." Those offerings could include augmented reality and virtual reality applications.
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Decart Raises $32M to Pioneer Real-Time Generative AI
SAN FRANCISCO, December 19, 2024 (Newswire.com) - Decart, an efficiency-focused AI research lab, has raised a $32 million Series A funding round led by Benchmark, with participation from existing investors Sequoia Capital and Zeev Ventures. The company emerged from stealth last month and quickly gained viral attention with Oasis - its breakthrough AI video model featuring the world's first real-time generative capabilities. After coming out of stealth less than two months ago, Decart has raised a total of $53 million, and is now focused on developing additional foundation models to make once-impossible virtual experiences accessible to everyone. Decart has built an AI infrastructure platform that enables organizations to train massive AI models at scale - improving efficiency tenfold while reducing training and inference costs. After achieving early profitability and generating millions in revenue from enterprise customers before emerging from stealth, Decart is now developing its own foundation models. The company aims to help the AI consumer community create interactive, real-time experiences faster than ever before. This groundbreaking approach led to Oasis - the industry's first real-time AI video game offering fully interactive, AI-driven worlds. The launch, though in demo form, exceeded all expectations, revealing the untapped potential of large-world models and reaching millions of users, with the first million unique users in just over three days. Influencers and gamers worldwide embraced the AI gaming platform, generating hundreds of millions of views across social media platforms. The viral launch captivated investors, paving the way for this latest funding round less than a month after Decart emerged from stealth. Over the past weeks, Decart has been continuously developing the model, achieving significant improvements in both video resolution quality and the model's long-term memory, bringing their interactive world models closer than ever to real-life environments. With this new funding, Decart will continue to grow its team of experts, accelerating its mission to redefine how we experience AI in everyday life. By pioneering next-generation generative AI models, the company envisions a future where intelligent, real-time interactions become second nature - seamlessly woven into the fabric of daily experiences, and reshaping the way we connect with technology and each other. "Decart brings imagination to life through efficient AI world models," said Dean Leitersdorf, CEO and co-founder of Decart. "We launched Oasis, a real-time user-generated game demo, and the response surpassed anything we could have predicted or prepared for. This enthusiasm has led us to double down on building the next generation of AI consumer experiences, and we cannot wait to see how these breakthroughs transform everyday interactions." "Decart's innovation makes AI generation not only more efficient but also more accessible for any type of user,×´ said Victor Lazarte, General Partner at Benchmark. ×´By removing barriers to entry and significantly reducing costs, they are empowering a new wave of creativity and practical applications. We're proud to join them on this journey as they redefine the possibilities of AI and its role in our everyday lives.×´ About Decart Decart is a cutting-edge, efficiency-focused AI research lab bringing generative experiences to all. Founded in 2023 and backed by Benchmark, Sequoia Capital, and Zeev Ventures, Decart leverages its efficient AI training and inference capabilities alongside cluster training reliability to push the boundaries of generative experiences.
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Decart adds another $32M at a $500M+ valuation
A young startup that emerged from stealth less than two months ago with big-name backers and bigger ambitions to make a splash in the world of AI is returning to the spotlight. Decart is building what its CEO and co-founder Dean Leitersdorf describes as "a fully vertically integrated AI research lab," alongside enterprise and consumer products based on the lab's work. Its first enterprise product, optimising GPU use, is already bringing in millions of dollars in revenue. And its first consumer product, a playable "open world" AI model called Oasis, was released when Decart came out of stealth and already claims "millions" of players. Now, on the back of that strong exit out of the gates, Decart has raised another $32 million led by Benchmark. The funding, a Series A, is coming less than two months after the company -- which is headquartered in San Francisco but with substantial operations in Israel -- had raised a seed round of $21 million from Sequoia and Zeev Ventures, with the two firms also participating in this latest Series A. And TechCrunch understands from sources that Decart's new post-money valuation is now over $500 million. (For a point of comparison, the seed valued it at just over $100 million.) Leitersdorf is a youthful 26, full of energy and coming in fast. He says the aim is not just to take on companies we already know of as big players in the AI field like OpenAI, Anthropic, Mistral and the rest. He said he wants to build "a kilocorn" -- that is, a trillion-dollar company. "We have a long way to go, and we have great stuff to build," he added. That being said, he noted that yes, the company has already been approached as an acquisition target multiple times. And there are some interesting (if slightly more modest) comparables if you just look at the optimization piece that Decart has built, such as Run:ai getting acquired by Nvidia for $700 million. Leitersdorf's exuberance nevertheless comes after a decade of impressive momentum that got him to where he is now. Born in Israel, Leitersdorf spent his early years there before moving with his family to Switzerland and then Palo Alto, following his parents' work (they are doctors and researchers). As a teen at Palo Alto High School, he pushed himself to get his diploma in just two years, only to then jump into university, back in Israel at the Technion, where he finished his undergraduate, masters and PhD work in computer science in just five years, including time that overlapped with his military service. His co-founder Moshe Shalev (pictured above, left) is impressive in a different way: he came to computer science while doing his own time in the IDF having been raised in a strict Orthodox household. He turned out to have a knack for it and helped establish, build and run AI operations for the IDF's 8200 intelligence unit, where he remained for nearly 14 years. There is a third co-founder with an equally impressive background although his name is not yet being disclosed due to existing commitments. Decart before the horse Decart, as it exists today, is focusing on three primary areas, as Leitersdorf describes them: systems (currently: infrastructure optimization), models (AI algorithms) and data (which you can read as: applications that ingest and return data). Decart's first product, which it actually launched while still in stealth earlier this year, is in the systems camp: software to help optimize how GPU processes work when training and running inference workloads on AI models. That software has turned out to work very well: it is being used by a number of companies building and running models, to bring down some of the extreme operational costs the come with building or using artificial intelligence. Leitersdorf said that using its software, workloads that might typically cost $100/hour to run can be brought down to a mere 25 cents/hour. "That definitely got people's attention," he joked. Indeed, AI is very hot right now, but it seems that companies building tech to improve how well AI works... are even hotter. The company is not disclosing the names of any of its customers, but it claims to be generating millions of dollars already in revenue and there are enough customers using it that Decart was profitable when it launched at the start of November. It's on track right now to remain profitable through the end of the year, Leitersdorf added, and that interest from the market is another likely reason why VCs are interested. "Decart's innovation makes AI generation not only more efficient but also more accessible for any type of user," said Victor Lazarte, a general partner at Benchmark that led the deal, in a statement. "By removing barriers to entry and significantly reducing costs, they are empowering a new wave of creativity and practical applications. We're proud to join them on this journey as they redefine the possibilities of AI and its role in our everyday lives." It may so far be the engine driving the startup's bottom line, but that optimization product is not Decart's primary focus. Leitersdorf said that Decart built it to help finance the business when still in stealth mode, based in part on research he had done when still a student. Leitersdorf said that Decart's second product is in tune with what it hopes to do more of in the future. The Minecraft-like Oasis, which it launched to coincide with emerging from stealth two months ago, is a "playable" AI that generates real-time, responsive AI-based audio and visual interactions. The plan is to launch more experiences along these lines, Leitersdorf. These will include an upgraded Oasis game, along with others powered by generative AI and interactivity. These could include AR or VR experiences that would not need specific hardware to run. "The problem [with VR and AR previously] was that we started with the hardware rails," he said. "But building hardware is hard, getting people to adopt new hardware is hard. The nice thing about Gen AI is that we can actually [build AR] in the software part. We can actually bring value before the hardware is even ready." You could argue that Decart has, ironically, possibly put the cart before the horse when it comes to some of its ambitions. Leitersdorf didn't have much of an answer to give me on what the company's position would be on customers that wanted to use its optimization software to build or run nefarious models. Nor does the company currently have a plan in place for how to make sure that the applications it developed did not get misused or abused. Right now, he said, those are not scenarios that have presented themselves. More to the point is getting more people interested in its work across the platform, and turning that activity into revenue. "The real king makers are the users," Leitersdorf said. "They are the only ones that matter."
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Decart, an AI startup, raises $32M in Series A funding led by Benchmark, reaching a $500M valuation. The company focuses on AI infrastructure optimization and real-time generative AI experiences, including the popular Oasis game.
Decart.AI Inc., an emerging player in the artificial intelligence sector, has successfully closed a $32 million Series A funding round led by Benchmark, with participation from Sequoia Capital and Zeev Ventures 123. This latest investment comes on the heels of a $21 million seed round, bringing Decart's total funding to $53 million and boosting its valuation to over $500 million 13.
Founded in 2023 by Dean Leitersdorf and Moshe Shalev, Decart positions itself as a "fully vertically integrated AI research lab" 3. The company's focus is twofold:
AI Infrastructure Optimization: Decart has developed a software tool that significantly enhances the efficiency of enterprise AI training and inference clusters. This product has already generated millions in revenue and achieved profitability 12.
Real-Time Generative AI: The company's flagship consumer product is Oasis, a video game powered by a custom foundation model. Oasis offers interactive, AI-driven worlds and has amassed millions of users since its launch 12.
Decart's AI world model, which powers Oasis, combines two popular neural network designs: the transformer and diffusion architectures 1. This innovative approach has enabled the creation of real-time, interactive AI experiences that were previously thought impossible 2.
With the new funding, Decart aims to:
The company plans to deploy future versions of its technology on silicon from Etched Inc., a startup developing AI chips optimized for the transformer architecture 1.
Decart's rapid growth and innovative approach have attracted significant attention from both users and investors. Victor Lazarte, General Partner at Benchmark, stated, "Decart's innovation makes AI generation not only more efficient but also more accessible for any type of user. By removing barriers to entry and significantly reducing costs, they are empowering a new wave of creativity and practical applications" 12.
Dean Leitersdorf, CEO and co-founder of Decart, envisions a future where intelligent, real-time interactions become second nature. He stated, "We launched Oasis, a real-time user-generated game demo, and the response surpassed anything we could have predicted or prepared for. This enthusiasm has led us to double down on building the next generation of AI consumer experiences" 2.
As Decart continues to push the boundaries of AI technology and its applications, the company's ambitious goal, as expressed by Leitersdorf, is to become a "kilocorn" – a trillion-dollar company 3. With its current trajectory and the backing of major investors, Decart is positioning itself as a significant player in shaping the future of AI-driven experiences and infrastructure optimization.
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