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Capabilities / Data Annotation
Capability — what we do

Annotation run against a written spec, not a guess.

Image, video, text, and audio annotation, run against a documented labeling spec with an independent review layer before anything ships back to you.

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The Challenge

  • Labeling decisions that rely on undocumented knowledge.
  • Inconsistent interpretation across multiple annotators.
  • Quality declining as production volume increases.

The Solution

  • Every project begins with a written, version-controlled labeling specification.
  • Annotation quality is verified through an independent review layer.
  • Capacity scales through trained teams and structured processes, not by reducing quality controls.
What this covers

Typical scope.

Image and video annotation
Text classification and NER
Audio transcription and tagging
Annotation spec maintenance
Expected outcomes

What changes if this works.

Reduced annotation backlog
Consistent label quality across annotators
A documented, versioned labeling spec
Throughput that scales without a quality dip
Delivery

Delivered through our Operating System.

Every engagement — including this one — runs on the same six-stage system: Discover, Design, Build, Operate, Improve, Scale.

See the Operating System →
Related capabilities

Often used alongside this.

Human ReviewData ValidationCRM Operations