Robotics Data Programs

Embodied datasets captured, segmented, and quality-controlled end to end

Robotics performance depends on data quality, consistency, and coverage of real-world variation. ProofLab Robotics Data Programs delivers structured capture protocols, multi-stream annotation, action segmentation, and evaluation suites—so your embodied models improve faster with fewer dead-end experiments.

End-to-end robotics data programs: capture protocols, teleoperation datasets, action segmentation, and evaluation suites.

Methodology: Our Robotics Data Methodology

Specialized data operations for embodied AI. We provide the training and evaluation data that robotics systems need to perform reliably in the physical world.

  • Simulation-to-real transfer
  • Manipulation skill data
  • Navigation annotations
  • Safety boundary training

Modules & Capabilities

  • Capture Protocol Design

    Standardized capture with environment specs, object sets, and variation requirements

  • Teleoperation & Demonstration Data

    Expert demonstrations with multi-stream synchronization and metadata

  • Action Segmentation & Labeling

    Task boundaries, grasp annotations, object states, and failure modes

  • Embodied Evaluation Suites

    Success rate benchmarks, generalization tests, and failure taxonomy

Results: Reliable Physical AI

Robotics systems trained and evaluated with our data perform reliably in real-world environments with appropriate safety margins.

  • Higher task success
  • Better generalization
  • Safety compliance
  • Real-world reliability

Deliverables

  • Capture protocol documentation
  • Synchronized multi-stream datasets (video, depth, proprioception)
  • Action-segmented and labeled dataset batches
  • Evaluation benchmark with success metrics
  • QA report and coverage analysis

Get started with Robotics Data Programs - contact our team for a scoping call.