About

For centuries we have recorded language and numbers —but not physical behavior. Billions of hours of human activity already exist on video, yet this knowledge remains locked in pixels. Machines cannot learn from it directly.

Robotics is limited not by hardware, but by intelligence. Physical AI cannot scale until robots can learn from video the way language models learned from text.

Inheritance builds deep learning systems that convert raw video into structured representations of behavior, contact, and action.

We transform observation into training data that robots and world models can learn from at scale, enabling capability to compound instead of restart with every new embodiment.

Robotics will not scale through better policies alone. It will scale when video becomes machine-readable and accumulates across environments, tasks, and hardware.

Inheritance builds the intelligence layer physical AI depends on.