The world generation layer for Physical AI

Not assets. Not scenes. Training-ready environments built from real-world products, with parametric variation for scale. Built on 25,000+ real-world products.

Physical AI Has a Data Problem

Most 3D models look good but break in simulation. No collision meshes, no physics properties, no articulation. Teams spend months adding mass, friction, and joint limits by hand. Training requires thousands of diverse environments — building them manually is the bottleneck.

From Real Products to Training Environments

• 25,000+ Real Products — Scanned from real-world objects. Sub-millimeter geometry. Accurate materials.
• SimReady USD Assets — Articulated joints. Collision meshes. Material physics. Isaac Sim validated.
• Complete Environments — Composed scenes with architecture, appliances, furniture, and fixtures. All physics-enabled.
• Infinite Variations — Parametric generation produces thousands of training-ready scene variations.

Key Numbers

• 25,000+ real-world products in the system
• 5,000+ environments available
• Sub-millimeter geometric accuracy
• OpenUSD native delivery format

Built for the NVIDIA Ecosystem

Native USD output. Physics schemas. Articulation API. Compatible with NVIDIA Isaac Sim, Isaac Lab, and Omniverse.