Expert Labeling Video Data How It Works Quality About Contact Start a pilot
Service 02

Real-world industrial video data, cleaned and structured for ML training.

We source hands-on POV and workbench footage from real production environments, then build the filtering, segmentation, annotation, metadata, and event-tagging workflows that turn raw video into training-ready datasets. We provide the footage and build the pipeline that makes it usable.

From raw footage to ML-ready export
Raw footage
Filtering
Segmentation
Annotation
Metadata
ML-ready export
01
What we capture

Real production environments.

First-person and workbench footage of skilled operators performing real, repetitive, multi-step tasks — the behavior robotics and CV models actually need to learn from.

  • First-person worker footage
  • Workbench videos
  • Repetitive industrial tasks
  • Assembly
  • Packaging
  • Sorting
  • Inspection
  • Machine operation
  • Lab / technical procedures
02
What we build

The pipeline, not just the footage.

Our engineers build the workflow that converts hours of raw capture into filtered, segmented, tagged, annotated, and metadata-rich datasets — designed for your model under training.

  • Clip filtering
  • Scene selection
  • Quality control
  • Task segmentation
  • Event detection
  • Annotation workflows
  • Metadata schema
  • Export formats
03
What it supports

Built for robotics and embodied AI.

The same dataset can feed several downstream model objectives, from imitation learning to operational analysis.

  • Robotics imitation learning
  • Embodied AI
  • Action segmentation
  • Tool-use modeling
  • Human-to-robot task transfer
  • Manufacturing computer vision
  • Operational workflow analysis
04
What you receive

A documented, ML-ready dataset.

Delivery includes the footage, the structured outputs, and the documentation so the workflow keeps producing data after the engagement.

  • Raw footage package
  • Filtered clip set
  • Segmented video collection
  • JSONL events
  • Metadata schema
  • Annotation guidelines
  • QA report
  • Dataset card
  • Pipeline documentation
05
Privacy & consent

High-trust handling of industrial footage.

Operational footage and worker imagery are sensitive. We handle them under NDA-default workflows and capture only what the task needs.

  • Worker consent handled up front
  • NDA-default engagement
  • Facility identifiers protected
  • Worker imagery handled carefully
  • No unnecessary faces or factory layout when not needed

Have footage to collect or process?

Tell us the environment, the tasks, and your model objective. We'll scope a capture-and-pipeline plan for a first dataset.