Humyn Labs collects and annotates multi sensor datasets, camera, radar, and IMU, in real world environments where simulation falls short, so your physical AI models perform beyond the lab. Physical AI models need massive volumes of real-world sensor data to operate safely outside simulation. But the sim-to-real gap is brutal: synthetic environments miss edge cases, rare scenarios, and the messy physics of the real world. Collecting synchronized multi-sensor data in the field is expensive, logistically complex, and requires domain expertise that most annotation vendors simply don't have.
