Company
AI startup co-founded by Fei-Fei Li building spatial-intelligence and world-model systems for robotics simulation; acquired by AMD in 2025.
Nvidia and Sapphire Ventures joined Reactor's Series A, lifting the world-model startup's funding to $74 million from $59 million. Nvidia's stake sits in the layer that runs the models, days after AMD agreed to buy model maker World Labs for $8.2 billion in stock.
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London startup Zenithon AI has raised $10 million to train world models meant to replace slow physics simulations in fusion, rocketry and chip design. The company says its models check a million designs in the time one conventional simulation takes, with fusion energy developers among its early customers.
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AMD is buying Fei-Fei Li's World Labs for about $8.2 billion and making Li its chief scientist. The chipmaker says workloads like the lab's will shape its chip roadmap, a claim that matters most to teams training robots in simulation.
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AMD agreed to buy Fei-Fei Li's World Labs for about $8.2 billion in stock as GPU suppliers move into robotics model work. Robotics teams now have to decide how much of their data and failed experiments a compute vendor gets to see.
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AMD agreed to buy Fei-Fei Li's World Labs in an all-stock deal valued at about $8.2 billion. AMD says owning the 3D and simulation lab gives it a closer view of emerging AI workloads; outside teams benefit only if the resulting GPU optimizations ship.
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AMD is paying $8.2 billion in stock for Fei-Fei Li's World Labs, 64% above the startup's last reported valuation, with no revenue disclosed. AMD says Li's team will help shape its future chip roadmaps, a forecast it is buying with shares worth under 1% of its own market value.
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AMD agreed to buy Fei-Fei Li's World Labs for about $8.2 billion in stock, more than $100 million for each of its roughly 70 employees. The chipmaker is paying for an early look at one lab's AI workloads, and its own shareholders absorb the dilution.
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AMD agreed to buy Fei-Fei Li's World Labs in an all-stock deal valued at about $8.2 billion. The chipmaker says researchers who build 3D-world and robotics models will give it deeper insight into the workloads its future hardware, software and systems must serve.
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Pose conditioning is what lets one set of weights produce a filmed shot and the RGB-plus-depth stream a robot camera would see. It is also why the geometry Atlas invents ends up inside your training data, unlabelled.
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AMI Labs says it is still in a research and building phase and will not discuss product plans or a timeline. World Labs' Marble ships now as a way to build explorable scenes. A roadmap needs more than that.
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Give Atlas a few images and it generates views a camera never shot, then exports depth, point clouds, and 3D splats you can move through. The invented geometry looks as measurable as the observed, a gap that matters more to a robot than a filmmaker.
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Atlas arrived Sept. 1 in early access with no price, no named partner and no paper, and the reconstruction win it publishes runs against a baseline whose own authors asked evaluators to wait. That makes it a procurement question.
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The capability claim is specific enough for a product team to test, with one image going in and up to a minute of 1440p video plus 3D splats coming out, though the camera-path win rests on a blind human study World Labs ran itself.
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Techfundingnews frames the world model race as a $16B bet. The named rounds account for $2.31B of it, and the case against the architecture rests on a generalisation failure capital cannot fix.
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Veeda AI raised $90 million three months after being founded, co-led by Khosla Ventures and Radical Ventures. The pitch: simulated reality is the infrastructure layer robotics is missing.
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Its R2S2R engine turns one real demo into thousands of variations, and says sim-only policies ran unattended on real robots. Every number here is the company's own.
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