AI capability
Data Annotation
Labelled datasets and evaluation sets built with domain reviewers in the loop, with the quality controls to prove it.
Capabilities
What we build
Annotation guideline design
Image, video, text and audio labelling
Domain expert review workflows
Inter-annotator agreement measurement
Evaluation and benchmark set construction
Secure and on-premise annotation options
Typical use cases
Where it gets applied
01
Training set creation
02
Model evaluation benchmarks
03
Data quality audits
04
Continuous labelling for live systems
Every engagement ships with evaluation
We build the scoring harness before the feature, so you can see whether quality is improving — and get told when it drifts.