Training data for the tasks robots can't do yet

We capture what cameras miss — force, contact, recovery — and deliver synchronized, quality-checked episodes ready for your training pipeline.

Syngraph Visualization

FROM CAPTURE TO DEPLOYMENT

Every episode passes through four stages before delivery

01

CAPTURE

Multi-camera egocentric video, LiDAR depth, and tactile force sensing. Skilled workers performing real manipulation tasks. Synchronized to sub-10ms.

02

ANNOTATE

Automated pre-labeling — hand pose estimation, object segmentation, action classification — on every frame. Expert human review on the edge cases.

03

VALIDATE

QA gate. Modality sync within one frame, dropout and NaN detection on every channel, smoothness checks on hand pose and action vectors. Failures and recoveries included by design.

04

DELIVER

LeRobot v3 format. GR00T N1 compatible. Drop it into your training pipeline. Delivered via bucket or direct transfer.

BUILT FOR

FOUNDATION MODEL TEAMS

Pretraining at Scale

Diverse scenes, task types, and industrial environments for VLA and world model pretraining — with synchronized tactile and force data that DROID, Open X-Embodiment, and BridgeData don't include.

DEPLOYMENT TEAMS

Contact-Rich Precision

Expert human demonstrations of industrial manipulation tasks with synchronized tactile and depth. Failure cases and recovery behaviors included. The contact-rich signal your sim-trained policy is missing.

4

Synchronized modalities per episode

LeRobot v3

Native format

MCAP/HDF5

Industry-standard formats

GR00T

N1 compatible

FAQ

LeRobot v3 (synchronized MP4 video + Parquet state/action files). Compatible with GR00T N1, Isaac Lab, and standard VLA training pipelines. Delivered via bucket or direct transfer.

Egocentric RGB video, LiDAR depth, tactile force sensing, 3D hand kinematics (MANO format), and language task descriptions. All synchronized to sub-10ms.

Every episode passes a QA gate: sync verified within one frame, NaN and dropout detection on every channel, velocity-spike checks on pose and action vectors. Anything that fails halts the run.

Precision assembly, tool use, textile manipulation, surface quality inspection, and more. Each domain captures contact-rich, bimanual tasks where vision-only systems fail.

Yes. Failures and recovery behaviors are captured alongside successes. Models need to learn what goes wrong and how to correct.

Contact us. Tell us what task domains you need and what's missing from your current training corpus. We'll scope it from there.

SEE IT IN YOUR PIPELINE

Tell us what task domains you need and what's missing from your training corpus. We'll scope it from there.