Rivian acquires AI world-model startup Third Dimension to accelerate self-driving development

Rivian buys Third Dimension

Rivian has acquired Third Dimension, a U.K. startup that uses AI to convert images and video into lifelike 3D worlds, according to TechCrunch. The electric vehicle maker is not branching into gaming. Instead, it wants to use the startup's technology to turn real-world driving data into 3D environments that can accelerate its advanced driver-assistance features and the self-driving system for the robotaxis it plans to supply to Uber.

The financial terms were not disclosed. Third Dimension's 15-person team, most of them based in the U.K., will be folded into Rivian's autonomy and AI organization led by James Philbin, who told TechCrunch the deal also creates an opening to expand Rivian's AI hub in London.

Built for games, redirected to driving

Third Dimension was founded in 2024 by CEO Tolga Kart and Piotr Sokólski, both veterans of the gaming and autonomous vehicle industries, TechCrunch reports. The company raised $7 million in seed funding from investors including Abstract Ventures, MVP, Soma Capital and Solari Capital.

The startup's core technology was originally designed to speed up video game development, but the founders also saw potential in defense and autonomous vehicles. Under Rivian, the focus narrows to automated driving, something Kart welcomed. He told TechCrunch the team is excited to concentrate on a single problem, noting that serving many different customers as a small company is difficult and that autonomy offers the kind of scale where their technology can make a real difference.

Closing the simulation gap

Simulation is a core tool for autonomous vehicle developers, who rely on it to train and validate self-driving systems. Traditionally, these simulators were built on rendering or video game engines and leaned heavily on synthetic data. As Kart explained to TechCrunch, those virtual environments may resemble the real world, but a quality gap persists, and developers have typically tried to close it by pumping ever-larger volumes of data into the simulator.

Third Dimension's approach differs: its AI is built to match the physical world directly. Combined with Rivian's own data, that could produce a significantly more faithful simulator.

Rivian has a large stream of that data to work with. The company collects driving data from tens of thousands of customer pickup trucks, SUVs and delivery vans on the road, covering any vehicle whose owner has opted in to external camera sharing. Rivian says the data is aggregated and anonymized before being used to build driving models. According to Philbin, more than 400,000 sequences are uploaded from customer fleets every day.

That volume is where the acquisition could pay off. Philbin told TechCrunch that Third Dimension's technology will let Rivian simulate complex driving conditions instead of waiting for rare real-world edge cases to actually happen — a bottleneck that has long slowed autonomy programs, since unusual scenarios are by definition scarce on real roads.

Why it matters

The deal illustrates how automakers are increasingly buying AI startups outright rather than only partnering or licensing, both for the technology and for scarce specialist talent. For Rivian, the timing is significant: it has committed to supplying robotaxis to Uber, which puts real deadline pressure on its self-driving program. A simulator that can generate realistic rare-event scenarios from real fleet data could compress development cycles and reduce dependence on road testing alone. The acquisition also deepens Rivian's AI presence in London, reflecting the broader trend of U.S. companies tapping European AI talent pools as competition for world-model and simulation expertise intensifies across the autonomy industry.