Real-world physics, simulated at scale.
We record physical data from the real world and use it to generate synthetic simulations that robots can learn from.
From one real recording to many simulated worlds.
Our approach turns measurements of how things actually move, collide and respond into simulation data robots can train and be tested on.
Record
Capture physical data from real environments: motion, forces, objects and the spaces robots work in.
Model
Turn those recordings into simulation-ready scenes with physical properties grounded in the real world.
Generate
Produce synthetic variations at scale, so robots see far more situations than could ever be collected by hand.
Robots are limited by the data they learn from.
Collecting real-world robot data is slow, costly and hard to repeat. Purely synthetic data is cheap, but often misses how the physical world really behaves. We aim to combine the two.
- Simulations grounded in measured, real-world physics
- Many more training scenarios from each real recording
- Safer testing of robot behaviour before it reaches hardware
- Built for robotics teams and researchers
We’re early, and building now.
Monkey Bee Labs is an early-stage startup working on real-to-sim data for robotics. If you work on robots and want to talk about data or simulation, we’d love to hear from you.