Physical AI · Bangalore, India

GaloreX RoboticsFrom human hands
to robot hands.

We build the whole pipeline for physical AI: wearables that record the touch cameras can't see. An operator network collecting demonstrations across India, annotation pipelines that turn raw video into training-ready data, and training and deploying robot action models on real hardware.

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TENET glove · live data. The operator's RGB view, measured contact rendered on the hand model, and the raw 4×4 velostat pressure maps for thumb and index.

01 · The pipeline

The whole company in six steps.

01 Wearables Open-source rigs and in-house designs like TENET. 02 Collect Partner vendors and our in-house operations team record demonstrations across India. 03 Annotate Raw data becomes robot-learning datasets and environments, shipped in standard training formats. 04 Simulate Raw data from real factories becomes realistic simulation assets for validating trained policies. 05 Model training We take state-of-the-art models and train them for specific use cases with our datasets. 06 Deploy On real robots in real environments. Our team also helps deploy customer robots in our partner factories.

02 · Collection & annotation

Operators collect it. Pipelines make it trainable.

Partner vendors and our in-house operations team record manipulation demonstrations across India, with gloves, UMI grippers, and other open-source rigs.

Every episode ships as robot-learning datasets and environments, in the standard formats teams already train on.

Skeleton and hand joints recovered on egocentric footage from exocentric views.

03 · Simulation track

Your real objects, running in simulation.

Ship a camera, not a robot. Photograph the objects at your site and we return watertight, physics-ready twins for Isaac Sim (USD + PBR), MuJoCo, Gazebo, or plain GLB. We also use raw data from real factories to build realistic simulation assets for validating trained manipulation policies.