Fork
Snapshot a robot's state and branch it into millions of independent worlds in milliseconds.
SIMULATION INFRASTRUCTURE FOR EMBODIED AI
Parallem builds simulation worlds where robots fork into countless realities — failing, adapting, and learning in each — so the one that reaches the real world already knows what to do.
01 / PARALLEL WORLDS
Each cell is a world forked from one initial state, perturbed by a thousandth of a radian. Watch them diverge. Every divergence is an experiment the real robot never has to run.
02 / METHOD
Snapshot a robot's state and branch it into millions of independent worlds in milliseconds.
Vary friction, mass, lighting, latency, sensor noise — every world a slightly different physics.
Policies train across all realities at once, rewarded for what works everywhere — not just somewhere.
The best policy collapses back into one body and deploys to hardware — robust by construction.
03 / ENGINE
A GPU-native physics core that treats every world as a lane in a single tensor. Contact-rich, differentiable, and calibrated against real hardware.
We're onboarding a small set of robotics teams to the private beta.
hello@parallemrobotics.com