Decart raises $300M to put a real-time world model in front of Amazon’s chips
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Decart raises $300M to put a real-time world model in front of Amazon’s chips

May 18, 20269 views2 min read

Decart has raised $300 million in funding led by Radical Ventures to advance real-time world models using Amazon’s chips.

Decart, an AI research lab focused on developing real-time video and world models, has secured $300 million in new funding, marking a significant milestone in its mission to bring advanced AI capabilities to the forefront of technology. The funding round was led by Radical Ventures, with participation from notable investors including Nvidia, Sequoia Capital, Benchmark, Adobe, and Toyota. Angel investors such as Andrej Karpathy, Michael Eisner, and the Nintendo family also joined the effort. This brings Decart’s total funding to over $450 million.

Real-Time World Models: The Next Frontier

The company's core focus lies in building world models—AI systems that can simulate and predict real-world environments in real time. These models are critical for applications in robotics, autonomous driving, and immersive technologies like virtual and augmented reality. By leveraging the computational power of Amazon’s chips, Decart aims to scale its innovations across industries, creating more responsive and intelligent systems.

Strategic Partnerships and Industry Impact

The involvement of tech giants like Nvidia and Adobe, along with automotive and entertainment industry heavyweights such as Toyota and Nintendo, underscores the broad appeal and potential of Decart’s technology. These partnerships not only provide financial backing but also offer domain expertise and integration pathways that could accelerate adoption. As AI continues to evolve, companies like Decart are positioning themselves at the intersection of simulation, perception, and real-time decision-making—key components in the next generation of AI systems.

In a rapidly advancing AI landscape, Decart’s move signals a growing industry trend toward developing systems that understand and interact with the world in real time. With this latest funding, the company is well-positioned to push the boundaries of what AI can achieve in dynamic, complex environments.

Source: TNW Neural

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