Real-world network
Collect across homes, factories, retail, and skilled workplaces — including long-tail conditions a lab cannot reproduce.
REAL-WORLD ROBOT TRAINING DATA
Teach robots
real-world work.
Grasp Labs collects, refines, and delivers high-quality real-world data for embodied AI — from human demonstrations to robot teleoperation.
Multimodalsynchronized
Real worldat scale
Training-readydelivery
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Not just footage. Experience for robots.
We design collection backward from your model objective, precisely aligning action, perception, and physical context. Every episode is traceable, validated, and ready for your training pipeline.
Synchronized modalities
Align RGB-D, joint states, end-effector poses, force, tactile signals, and language at millisecond precision.
Embodiment matched
Human egocentric capture, portable UMI devices, VR teleoperation, and your target robot hardware.
Quality loop
Automated checks and expert review across task success, trajectory integrity, and sensor consistency.
DATA MODALITIES
Built for VLAs, world models, and robot policies.
Human demonstrations
EGOCENTRICComplete task workflows performed naturally in real environments.
↗Teleoperation trajectories
TELEOPERATIONEmbodiment-aligned actions, states, and multi-view video.
↗Multi-sensor capture
MULTIMODALSynchronized RGB-D, force, tactile, audio, and spatial context.
↗Evaluation & failures
EVALUATIONHigh-value success, failure, and edge-case evaluation sets.
↗HOW IT WORKS
From objective to dataset, one production pipeline.
Define
Align on task, embodiment, model interface, and success criteria.
Design
Specify environments, capture hardware, schema, and quality protocol.
Collect
Deploy trained operators and monitor usable yield continuously.
Deliver
Clean, annotate, validate, and ship to your training requirements.
BUILT FOR THE PHYSICAL WORLD
Where robots actually work.
Home tasks
Manufacturing
Warehousing
Retail service
Skilled work
Long-tail worlds
START A COLLECTION
What should your robot learn next?
We will design a first, measurable dataset around your task, embodiment, and model.
Contact Grasp Labscontact@grasplabs.com↗