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Business & data

Data Annotation & AI Training

High-quality labeled data and structured annotation workflows for AI projects.

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Abstract illustration representing AI training data

What this service covers

We support data teams with repeatable annotation processes, clear labeling guidelines and quality checks. Projects can cover text, images, documents or other agreed datasets, with review procedures matched to the task.

  • Text and document annotation
  • Image classification and labeling
  • Categorization and tagging
  • Transcription and structured labeling
  • Quality review and sampling
  • Training dataset preparation

Who it is for

AI teams, data providers and organizations preparing structured datasets for machine-learning workflows.

How we deliver it.

Each stage ends with something you can review, so there are no surprises at the end.

  1. Align on guidelines

    Agree on labels, edge cases and quality targets.

  2. Set up the workflow

    Prepare tooling, batches and reviewer roles.

  3. Annotate

    Label data consistently against the guidelines.

  4. Review quality

    Sample, measure agreement and correct issues.

  5. Deliver the dataset

    Export in your format with a quality summary.

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