From factory floors to home kitchens — we capture, process, and deliver high-fidelity manipulation data across industrial and consumer environments. The data that bridges the sim-to-real gap.
From factory floors to home kitchens. We handle the entire data lifecycle across every environment so you can build better policies.
Multi-sensor capture systems deployed across factories, kitchens, and homes recording human manipulation at scale.
Automated pipeline converting raw sensor data from any environment into clean trajectories.
Standardized, versioned datasets compatible with all major robot learning frameworks.
We collect manipulation data wherever humans interact with the physical world — from industrial production lines to everyday consumer settings.
Assembly lines, sorting stations, packaging, and quality inspection across production environments.
Meal preparation, ingredient handling, utensil manipulation, and cooking workflows in home and commercial kitchens.
Cleaning, laundry folding, organizing, and everyday domestic tasks that home robots need to master.
Shelf stocking, order picking, inventory handling, and last-mile delivery object manipulation.
Sample handling, instrument manipulation, and precision tasks in clinical and laboratory settings.
Harvesting, pruning, sorting produce, and greenhouse tasks for agricultural automation.
Real-time egocentric capture across industrial and consumer environments. Every frame becomes training data.
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F2400Existing methods for collecting robot training data are limited to single domains. We capture everywhere.
Six automated stages transform recordings from any environment into training-ready manipulation trajectories.






Industrial and consumer data — from raw sensor streams to plug-and-play training datasets. Choose the level your team needs.

Raw multi-view video, depth maps, and IMU data from factory floors, kitchens, and homes.

6-DoF manipulation trajectories across industrial and consumer tasks, physics-validated and training-ready.

Curated datasets labeled by environment, task type, and object class. Factory to kitchen, one taxonomy.
Synchronized 4K stereo with sub-ms alignment across 8+ viewpoints.
SOTA hand & object pose networks trained on proprietary datasets.
Automated consistency checks ensuring real-world dynamics constraints.
GPU-accelerated pipeline with 99.9% uptime and global CDN.
Access real-world manipulation data from factories, kitchens, and homes. Train robots that work everywhere.