Decart

We are an AI research lab building Realtime world and video models for anything from gaming and entertainment to physical AI

Decart is an AI research lab building real-time world models and the inference and training infrastructure that runs them. The company ships three connected products: the Decart Optimization Stack (DOS), an engine for low-latency inference and training across GPUs, TPUs and AWS Trainium; Lucy, a "world model for immersive experiences" that responds to user input in under 30 milliseconds and is now deployed across virtual try-on, live streaming, and dynamic in-video advertising ; and Oasis, a world model for physical AI that generates interactive, physically accurate, real-time simulations . With DOS 2.0, the team says Lucy and Oasis run at full HD at 100 frames per second, which is what makes the live try-on and on-the-fly scene transformation demos feel instant rather than rendered. The launch marks Decart's Series B, a $300 million round led by Radical Ventures that brings total funding to more than $450 million. NVIDIA, Adobe Ventures, Toyota Ventures and eBay Ventures joined, alongside angels including Andrej Karpathy and Michael Eisner. Several of those names are also customers, which is the more interesting signal here: Decart is positioning itself as both a model lab and an infrastructure vendor to the companies it sells into, with stated traction in e-commerce, live streaming, gaming, and early work toward robotics and manufacturing. The company was founded in 2023 by Dean Leitersdorf, who serves as CEO, and Moshe Shalev, who serves as CPO , both with roots in the Israeli technical ecosystem. For founders and operators watching the world-model space, this round is worth noting because it funds a vertically integrated bet (chips, compilers, models, applications) rather than a pure research effort, and because the customer list suggests the real-time video models are already being used in production rather than just shown in demos.

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