Artha turns the world's existing video into simulatable, articulated, collision-correct environments, drops any robot into them, and ships auto-graded, sim-to-real-validated training data. Neutral to whose brain you're training — the picks & shovels, not another humanoid.
Phone clip → 3D geometry, objects, joints, mass & friction.
DoF, reach, payload, sensors → drop-in agent.
Backend-agnostic GPU sim. Millions of episodes.
Score, reward, one RL epoch — validated on real hardware.
Reconstruction (3DGS/NeRF) is table stakes. We add the layer no one ships: inferred joints, mass, friction, compliance + visual and physical consistency. Take a World Labs/Marble or Cosmos export and make it actually simulate.
Open World Store →URDF/USD is solved; "what can this robot do?" is not. Learn DoF, reach, payload, dexterity and sensing from a few videos/specs, and reuse across embodiments.
Open Robot Store →One API over Isaac Lab, MuJoCo MJX, ManiSkill, Genesis. Value is orchestration + domain randomization, not a new engine.
Open Artha Sim →An open Grader Store with video-grounded, non-hackable success detection, reward shaping, and RoboArena-style real-world eval as a first-class product.
Open Graders & RL →