OMN4I Information

OMN4I is building physical causality models for autonomous machines. Today’s frontier AI models can generate language, images, video and code — but they still struggle to understand what happens when an agent acts in the real world. OMN4I develops action-conditioned world models that learn from multimodal robot interaction data — vision, depth, proprioception, tactile feedback, force, motion and actions — to predict physical consequences such as contact, collision, stability, motion, failure and task success. Our mission is to build the foundation model layer for physical autonomy: AI that helps robots and autonomous systems understand, plan and act safely in the real world.