Image & video annotation
Bounding boxes, polygons, semantic segmentation, keypoints, classification and object tracking for computer vision models.
High-quality labelling for AI and ML models
Data annotation and data labelling services for AI and ML
AI models are only as good as the data they learn from. We provide accurate, consistent labelling, classification and review of text, image, audio and video data for machine learning teams.
Every project runs on documented guidelines, trained annotators and multi-stage quality checks, so you get training data you can trust and audit, delivered at the volume your models need.
What our data annotation work covers
Text classification & NER
Sentiment, intent and topic classification, named entity recognition and document labelling for NLP and large language model projects.
Audio transcription
Accurate transcription, speaker labelling and audio classification for speech recognition and voice AI.
RLHF & preference data
Human feedback for large language models: response ranking, side-by-side preference comparisons, rating against guidelines and adversarial review.
Who it is for
- Machine learning teams building computer vision, NLP or speech models
- AI companies that need RLHF and preference data for LLMs
- Organisations that need existing data cleaned, classified or reviewed
- Teams whose in-house labelling cannot keep pace with model development
How it works
- 1
Scope & guidelines
Data types, label schema and edge cases agreed and written into clear annotation guidelines.
- 2
Pilot
A small batch labelled and reviewed with you to calibrate accuracy before scaling up.
- 3
Production
Trained annotators label at volume, following the agreed guidelines and timelines.
- 4
Quality review
Multi-stage checks, sampling and quality reporting on every delivery.
Frequently asked questions
What types of data can you annotate?
Text, images, video and audio. We work with common data formats and can label in your annotation tools or ours.
How do you ensure annotation quality?
Clear written guidelines, annotator training, a pilot batch to calibrate with you, and multi-stage review with quality reporting on every delivery.
Can you handle sensitive or confidential data?
Yes. We agree access controls and data-handling requirements with you before work starts, and work within them throughout the project.
Can domain experts label specialised data?
Yes. For medical, legal, financial or technical data, our expert network supplies qualified specialists to label or review it.
Related services
Contact
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