Robotics training data

Physical interaction data for robotics foundation models.

Teleoperation, egocentric capture and custom environments: the demonstration data that trains VLA models and imitation learning policies. This data does not exist online. It is produced by trained operators, with hardware, in real environments under controlled protocol.

Ora mobile robot carrying a service tray while a restaurant employee places a plate on it
REAL CAPTURE · SERVICE ENVIRONMENT
In productionOra · 2026 program
01WORKFORCE
100+ operators
trained operators live today at our Madagascar data factory
02COLLECTED TO DATE
100,000hours
of physical interaction data captured since the factory opened, January 2026, as the team has ramped up to its current headcount
03CAPACITY, 2026
13,000hours / day
target daily throughput with 1,000 operators, ramping up from ~800 hours a day today with 100 operators
Pricing

Estimate your dataset.

Billing is per hour of manipulation video collected and validated at QA. Present hours, rejected footage, training and reconfiguration time are never charged.

Dataset complexity
Hours collected5,000 h
100 h50,000 h
Estimated total
€300,000
Medium complexity · 5,000 hours, VAT excluded
Rate€60 / hour
Hours collected5,000 h
Request a quote →

Estimate only. Final quote may vary. Prices exclude VAT, in euros. Not a quote or a contractual offer.

/// Public estimate for collected video hours only. UMI kits, launch packages, custom environments and exclusivity licences are scoped separately.

Capture modalities

From data to a robot that acts, one pipeline.

01

Data collection

Proprietary, real-world interaction data captured at scale, structured, annotated and quality-scored into model-ready datasets.

Output
synchronised RGB streams · 6-DoF hand & wrist pose · gripper state · timestamped action trajectories · natural-language labels
02

Model training

Those demonstrations train Vision-Language-Action and imitation-learning models that turn perception and an instruction into action.

Produces
VLA & imitation-learning policies · manipulation & grasping models · language-conditioned action
03

On-robot deployment

Trained policies run on the robot itself, on onboard compute, with standard formats and no cloud dependency for execution.

Runs on
onboard inference · LeRobot / RLDS / HDF5 export · ROS-compatible drivers · edge compute
04

Robot teleoperation

Operators teleoperate the robot on real sites, and every run captures fresh demonstrations that feed back into step one.

Feeds back
live remote control · new on-site demonstrations · human takeover on edge cases · continuous dataset growth
Gesture fidelity

What a demonstration actually looks like.

Raw egocentric capture, unedited. Deformable objects, fine finger work and cluttered scenes, the cases where synthetic data breaks down.
DEXTERITY
Fine finger work
EGOCENTRIC · CALIBRATED MARKERS
OBJECT HANDLING
Precision grasp
EGOCENTRIC · WRIST 6-DOF
DEFORMABLE
Non-rigid objects
EGOCENTRIC · CONTACT-RICH
Capture
Full action-observation stream, every frame
Pose
Hand and wrist 6-DoF, gripper aperture
Timing
Hardware-synchronised, temporally exact
Curation
Per-episode quality scoring before delivery
By use case

One process, tuned to your models.

Fine manipulation

Grasping, insertion and assembly gestures at high precision.

Captured

End-effector & hand trajectories, contact forces, multi-view sync

Trains

Manipulation & grasping policies

Precision

Sub-millimeter

Logistics & industrial environments

Handling and movement in real operational settings.

Captured

Body & payload motion in situ, spatial context

Trains

Warehouse robotics & world models

Precision

Centimeter, real-scene

Complex anthropomorphic gestures

Full-body and dexterous human motion, faithfully modelled.

Captured

Kinematic chains, degrees of freedom, timing

Trains

Humanoids & imitation learning

Precision

High-DOF, temporally exact

Provenance & rights

Captured, not scraped.

Data is produced by us, with a clean provenance chain and usage rights defined per engagement. Every episode is traceable end to end.

Full provenance

Every episode carries full provenance, so you know exactly who captured what, where and how.

Consent & NDA

Individual consent and NDA coverage for every operator involved in a capture.

Encrypted chain of custody

An encrypted chain of custody end to end, from capture to the delivered training file.

AI Act aligned

European contractual standards, aligned with AI Act traceability requirements.

FAQ

Straight answers.

Trained operators control robotic arms in real time, in a leader-follower configuration, to execute manipulation tasks. Every session records the full action-observation stream, with synchronised RGB, wrist pose and gripper state, the demonstration format that imitation learning and VLA models are trained on.

First-person recording of humans performing real tasks with their own hands, captured with UMI-class rigs. It is the highest-fidelity source of natural manipulation behaviour, with no robot-morphology bias and no operator learning curve, at a fraction of the cost of robot-based collection.

LeRobot, RLDS and HDF5, or a client's internal schema. Each episode ships with synchronised streams, 6-DoF pose and gripper channels, timestamped action trajectories and structured metadata.

Yes. We build environments to specification (kitchens, bathrooms, workshop benches, retail shelving, warehouse picking stations, navigation circuits) and can reconstruct a client's own operating environment on our sites. Typical lead time is 4 to 6 weeks.

We run 100+ trained operators in production today at our dedicated Madagascar data factory, launched January 2026. Daily capture capacity is ~800 hours a day today, up from a standing start in January as headcount ramped to 100 operators, with 100,000+ hours collected to date. We're scaling toward a 13,000-hour daily target with 1,000 operators. Monthly volume is scoped per engagement.

Usage rights are defined contractually per engagement. Full provenance and individual consent are delivered with every batch, and nothing captured under exclusivity is resold.

Pricing is per engagement, driven by modality, volume and environment complexity. Request a data sample and we will scope it with you.

Request a data sample.

Tell us the modality, format and environment you need. We will return a representative sample and scope volume and delivery with you.