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Core service

Data Tagging & Annotation

Quality data, better models

Your model is only as good as your training data. We provide enterprise-grade annotation services across all formats—images, video, text, and audio. With 98%+ accuracy and flexible team options (crowdsourced or expert specialists), we deliver the clean, labeled datasets your AI models need to perform.

Key Benefits

  • 98%+ labeling accuracy across projects
  • Scalable crowdsourcing or expert teams
  • Multi-format support (text, images, audio, video)

Use Cases

  • 1
    Prepare data for fine-tuning custom models
  • 2
    Generate RLHF training sets for alignment
  • 3
    Validate model outputs at scale
  • 4
    Create domain-specific training datasets

Request annotation samples

Talk to our engineering team about how Data Tagging & Annotation can be tailored for your specific requirements.

Book a Consultation

Frequently Asked Questions

What types of data do you annotate?

We annotate images, video, audio and text, including NLP labelling such as sentiment, intent and entity tagging, plus RLHF feedback collection and quality review.

What accuracy do you deliver?

Our annotation work targets 98%+ labelling accuracy, supported by quality review. We can agree acceptance criteria and sample checks with you before a full project starts.

Can you help design the labelling taxonomy?

Yes. We create taxonomies and classification schemas so that labels are consistent across annotators, which is critical for fine-tuning and evaluation datasets.

Can I try a sample before committing?

Yes. You can request annotation samples so you can assess quality on your own data before scaling up.

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