Services

African expertise, structured for AI.

Six service lines spanning dataset design, expert annotation, model evaluation, and sovereign infrastructure.

Data Labeling & Annotation

NERSentimentClassificationSegmentation

Multi-modal annotation across text, image, audio, and video. Named entity recognition, sentiment analysis, object detection, and image segmentation — executed by African domain experts with the cultural and linguistic context your model needs.

RLHF & Preference Data

Preference rankingHuman feedbackAlignment

African domain experts compare AI outputs and select the better response — teaching your model what good looks like in African contexts. High-value preference data for frontier AI teams, delivered with expert review.

Model Evaluation

BenchmarkingRed-teamingSafety testing

Benchmark your model against African language tasks, domain contexts, and specific failure modes that conventional benchmarks miss — before production deployment.

Data-Centric AI Consulting

Pipeline auditSchema designQuality framework

We audit training pipelines, identify label errors, redesign annotation schemas, and rebuild dataset quality frameworks around measurable model performance.

African Language Data

SwahiliYorubaHausaAmharic+30

Specialist annotation for Swahili, Yoruba, Hausa, Amharic, Kinyarwanda, Sheng, and 30+ additional languages, with native speakers, dialect-aware schemas, and code-switching pipelines.

Sovereign Data Infrastructure

KDPA compliantAfrica-hostedAudit trail

African enterprise and government data processed on African-hosted infrastructure. Every label is traceable, every export versioned, and cross-border movement is controlled.

Start a project

Build AI that works in Africa.

Begin with a pilot dataset, documented quality scores, and an output ready for model training.

Talk to our team