Grounded Robotics Intelligence Platform
Teaching robots
the way humans
actually move.
Grip is the robot-ready data supply chain for embodied AI. Capturing, enriching, and delivering high-quality egocentric human-task data at the scale foundation models need.
The gap
Robotics is missing 95% of the data it needs.
Today's global collection sits at roughly 1 million hours (about 10 human lifetimes). Frontier model teams estimate 100+ million hours are still needed to reach a true ChatGPT moment for physical intelligence.
At current rates, closing that gap will take decades. Most efforts trade quality for volume, lean on teleoperation and synthetic data, or lack the production pipelines model teams can use at scale.
The platform
An end-to-end robot-ready supply chain, from human hands to model weights.
Capture
Real human egocentric recording in factories, homes, and workplaces — grounded in the environments robots will actually operate in.
Quality
Production-grade standards co-designed with frontier model teams through our DM0 partnership.
Enrich
Full-stack QC, annotation, and enrichment pipelines built for embodied AI, not repurposed from web data.
Deliver
Robotics-native formats — LeRobot, MCAP, ROS, and custom schemas — ready to plug into model training runs.
Annotated hours of production-grade egocentric data already delivered
Hours added every month across global collection sites
Active co-design partnership shaping quality and schema standards
The advantage
Built for the teams defining physical intelligence.
Grip is the only player combining large scale inventory, model-team-defined quality standards, and a global production pipeline, at a cost that generates ROI on data procurement budgets.
The next era of physical intelligence
will be built on grounded data.
If you're training embodied models, we should talk.