Accurate data work from trained teams and outsourcing.

Rigorous human annotation for computer vision, NLP, and multimodal foundation models. Teams are vetted and trained against your domain-specific taxonomy.

Verbatim and clean transcription, speaker diarization, and timestamping by native speakers who understand accents, dialects, and code-switching.

Authentic Chichewa, Bemba, Swahili, Lozi, Tonga, and English data from native contributors for models that need real regional language coverage and cultural nuances.

Structured human judgment for LLM development: pairwise ranking, rubric scoring, red-teaming, cultural safety, and factuality checks.

Consent-based collection of speech, text, and imagery across Zambia and the Southern African region, with metadata captured precisely to your spec.

Trained teams prepare and review imaging datasets for radiology and pathology workflows, working to written protocols with strict handling rules for sensitive medical data.

Managed back-office teams for healthcare billing operations: registration capture, coding checks, claims support, and denial tracking, reported back to you on a fixed cycle.

A Zambia-based engineering team for product builds, internal tools, and data pipelines — from prototype through to production support.