Moving Atoms builds world models (Atom 1 and Atom 2) that let robots learn, understand, and act from uploaded video. Its data augmentation service re-films one training take across environments with motion, camera, and physics locked, and its World Action Model rolls the world forward in a physics-accurate preview conditioned on what the robot sees and the controls it sends. Backed by Y Combinator (Summer 2026), its Atom 1 model tops DeepMind's Physics IQ benchmark with a score of 56.7.
Moving Atoms specializes in developing advanced world models, specifically Atom 1 and Atom 2, which enable robots to learn, understand, and act based on uploaded video.
Key features of their offerings include:
Atom 1: This world model excels in learning physics from video data and has achieved the highest score on DeepMind's Physics-IQ benchmark, making it a powerful tool for training and evaluating robotic policies in a physics-accurate environment.
Atom 2: This model enhances the robot's ability to condition its actions based on real-time camera inputs, allowing for realistic simulations that closely match real-world performance.
Graded Rollouts: Each simulation provides a detailed assessment of the robot's performance, identifying successes and failures, which aids in refining and improving robot capabilities.
Data Augmentation Service: This service allows users to send a single training take, which is then re-filmed across various environments while maintaining consistent motion, camera angles, and physics. This feature significantly speeds up the training process and reduces costs while ensuring reliable evaluations.
The overall benefit of Moving Atoms' offerings is to make robot evaluation faster, cheaper, and more reliable by simulating real-world physics in a controlled environment, thus enhancing the development of robotic systems.