SimFabric

Simulation infrastructure
for embodied intelligence

Abstract monochrome terrain

Worlds that
teach machines
to understand.

Generate rich, responsive worlds.
Train intelligence that holds up where it matters.

Start building Our approach

01 / Build the world

Chapter 01 · World building

Synthetic
worlds for
intelligent machines.

SimFabric creates rich, controllable, and diverse simulated worlds where intelligent agents can learn, adapt, and be evaluated — before the real world.

Terrain generation, agent simulation and physics modelling layersMonochrome terrain landscape

02 / Train in worlds

Train Your Robot
in generated Worlds.

Create diverse, controllable environments, simulate real-world physics, and train robust policies — before deploying in the real world.

Robot training in a generated world
A humanoid robot learning in simulation

03 / Learn and adapt

See. Act.
Adapt. Repeat.
Until it works
in the real world.

Train robust policies through simulation with automatic evaluation, diverse scenarios and continuous improvement.

Cotton's journey from botanical fibre to textile

04 / Real-world impact

From synthetic worlds to lived experience.

Build intelligence that holds up where it matters.

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