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REVEL captures high-fidelity skilled human labor data using non-intrusive sensing methods to create reliable robot behaviors. The platform scales this captured data through augmentation and randomization to build training-grade datasets for manipulation tasks. Finally, behaviors are trained and retargeted across various robot form factors, accelerating deployment-grade autonomy for robotics OEMs and enterprise operators.
Updated 2 months ago
Funding
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Founders
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Product
Features
- REVEL provides Matrix, a platform designed to simplify the training and deployment of physical AI robots. This system automates the data generation and simulation pipeline, allowing users to define tasks via natural language prompts. The platform enables rapid iteration and fleet-wide deployment of validated machine learning models for robotic automation.