Synchronized, real-world data for embodied intelligence.

Embodied models live or die on data realism and sensor fidelity. Robotics teams need timestamp-aligned demonstrations across cameras, depth, force, and kinematics — collected under operator protocols that keep episodes complete, calibrated, and safe.

Scope a Robotics Data Program Browse data products

AI use cases

Where it applies.

Imitation learning
Teleoperation collection
VLA model training
Manipulation and grasping
World model rollouts
Safety validation

Data requirements

What it takes.

Timestamp-aligned sensor fusion
RGB-D, LiDAR, force/torque
Episode completeness tracking
Calibration verification
Embodiment consistency
MCAP / ROS bag delivery

Relevant data products

Products that map to this work.

Data Product

Physical AI & Robotics Data

Robot demonstrations, teleoperation, RGB-D, LiDAR, sensor fusion, and embodied trajectories.

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Data Product

Multimodal AI Data

Image-text data, video understanding, document AI, and cross-modal alignment at production quality.

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Data Product

Model Integrity & Evaluation

Private benchmarks, hallucination evaluation, safety red teaming, bias and compliance audits.

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Workflow

How the program runs.

01Task Design
02Sensor Setup
03Calibration
04Collection
05Annotation
06Validation
07Delivery

Quality & compliance

Built for regulated, high-stakes work.

Every engagement runs on our quality system and enterprise-grade security workflows — the controls an auditor would expect.

Operator consent and safety review
Environment data isolation
Secure sensor data handling
Custom delivery schemas

Quality & Security model

Case study

Proof in production.

Foundation Models

A Production Multimodal Pipeline for Document and Video Understanding

Image, video, document, and text annotations for multimodal model training and evaluation — one calibrated pipeline across four modalities with cross-modal QA.

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