Structured datasets and behavior-rich synthetic video produced directly from your simulation and twin assets. Calibrated to your facility and your robot, delivered as monthly tranches aligned to training cycles, versioned and regenerable on demand.
Data is generated from your validated twin and simulation assets, never a stock scene.
RGB, depth, segmentation, semantic labels, and event annotations, at training-run volume.
Monthly, versioned deliveries aligned to your training cycles. Regenerable when specs change.
Real-world feedback improves the sim, which improves the next tranche of data.
Generate recurring, versioned synthetic datasets from your own simulation and twin assets—calibrated to your facility, aligned to training cycles, and ready to regenerate as requirements change.
Automated, multi-modal data pipelines for continuous, large-scale model training.
Physics-driven video for training models that understand action, not just pixels.
Generic synthetic data is a commodity. Data calibrated to your facility and your embodiment is infrastructure, and it stays yours to train on.
Generated and delivered by US-based data operations.