AI Annotation, Tagging & Data Labelling

Structured, quality-controlled training data programs that make your AI reliable

Service Packages

Annotation Sprint

Teams with a defined small-scale labelling need

Includes:

Up to 5,000 items; single task type (classification or NER); QA layer; delivery in structured format

Deliverables:

Labelled dataset, quality report

Annotation Program

Organizations building proprietary training datasets

Includes:

Up to 50,000 items; multiple task types; annotator team management; inter-annotator agreement scoring

Deliverables:

Labelled dataset, IAA scores, annotation guidelines

Ongoing Labelling Retainer

AI teams needing regular training data at volume

Includes:

Continuous annotation pipeline; quality management; monthly delivery; escalation for ambiguous cases

Deliverables:

Monthly labelled batches, QA reports

Clients & Experience

KEMRI

Medical Research • Kenya

Survey questionnaire digitization and data tagging for mobile research platform

Save The Children UK

Humanitarian • Kenya

Field survey data classification and importation into statistical software

Development Initiatives

Development / Research • Kenya

ODK data collection and analytical categorization advisory

Ernst & Young (EY)

Professional Services • Kenya

Data collection, mapping, and spatial classification outputs