On October 22, U.S. electric vehicle manufacturer Rivian (NASDAQ: RIVN) announced the acquisition of artificial intelligence company Third Dimension AI to accelerate the development and validation of its autonomous driving systems. Third Dimension AI specializes in generating high-precision, controllable 3D virtual environments using real-world data, enabling large-scale simulation of complex driving scenarios and reducing reliance on real-world testing for rare hazardous conditions. Meanwhile, Rivian plans to launch an invite-only early access program for autonomous driving in December in California and Florida, offering select second-generation R1 and R2 owners a driver-supervised point-to-point autonomous driving feature.
Third Dimension AI, co-founded by Tolga Kart and Piotr Sokolski, specializes in developing AI-based 3D spatial generation and simulation technologies. Its core platform transforms real-world collected data into high-fidelity, controllable 3D virtual environments, enabling researchers to reconstruct real-world road scenarios on computers and adjust variables such as traffic conditions and environmental factors.
The key value of this technology is that autonomous driving development no longer relies entirely on vehicles encountering specific real-world scenarios to gather training data. For example, for complex scenarios that occur infrequently in reality but could impact driving safety, development teams can repeatedly simulate these situations in a virtual environment and adjust various conditions to test the autonomous driving model’s ability to respond.
Rivian plans to integrate Third Dimension AI’s technology platform into its existing autonomous driving development system to enhance the generation of real-world and synthetic data, and to improve the efficiency of training and validating autonomous driving models through large-scale simulation.
James Philbin, Senior Vice President of Autonomous Driving and AI at Rivian, said that simulation technology is a core component of the company’s training and validation of autonomous driving systems. Third Dimension AI can transform real-world data into detailed 3D environments, enabling Rivian to reconstruct complex driving scenarios, adjust test conditions, and enhance the autonomous system’s ability to respond to diverse road environments.
Philbin noted that this acquisition will accelerate Rivian’s technological development for both consumer vehicles and its Robotaxi autonomous ride-hailing business. By expanding virtual testing scale, the company aims to train and validate its systems on a broader range of complex traffic scenarios before real-world deployment.
Tolga Kart, Co-founder and CEO of Third Dimension AI, said the company has been dedicated to providing technical support for embodied AI and autonomous systems; joining Rivian will enable its simulation platform to achieve larger-scale real-world applications, accelerating the generation of autonomous driving training data and system safety validation.
Under the acquisition agreement, the management and technical team of Third Dimension AI will join Rivian’s autonomous driving research and engineering team. The financial terms of the transaction, including the amount, were not disclosed by either party.
In addition to acquiring AI technology companies, Rivian plans to launch an invite-only Autonomy Early Access Program in December 2026, offering select owners of second-generation R1 and R2 vehicles the opportunity to test the technology.
The program will initially launch in California and Florida, USA, primarily testing Rivian’s peer-to-peer autonomous driving system, enabling vehicles to perform driving tasks from origin to destination under driver supervision.
It is important to note that this feature is still part of a driver-assist autonomous driving system and does not mean the vehicle has full self-driving capability. Rivian plans to collect real-world driving data through early user testing to further validate system performance and enhance its autonomous capabilities.
This acquisition, combined with the upcoming road testing, marks a significant advancement in Rivian’s autonomous driving strategy: on one hand, expanding training and validation scenarios through 3D simulation reduces reliance on rare real-world road events; on the other hand, real-vehicle testing evaluates system performance in actual traffic conditions, supporting the future development of autonomous features for both consumer and Robotaxi markets.