Overview

REVEL Robotics builds a data infrastructure and hardware stack to train humanoid robots for real-world tasks. It creates high‑fidelity digital twins of tools and appliances from partner manufacturers and uses them in domain-randomized simulations, powered by its Neural Gambit wearable to capture human force, dexterity, and intent and train its RAi model; the company also develops an upper-body humanoid platform with dual arms, dexterous hands, and tactile sensing built on NVIDIA Isaac Sim. Unlike general robotics vendors, REVEL focuses on translating human skill into scalable machine capability through a B2B data library, simulation environment, and trained models that help other developers teach robots to use real tools. Its goal is to alleviate skilled‑labor shortages in manufacturing, skilled trades, and logistics by enabling robots to learn practical, real‑world tasks.

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