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Speech & Audio Data
Ugandan languages and dialects including Luganda, Runyankole, Acholi, Ateso, Lugbara, and Swahili.
AI/ML Data Collection & Augmentation
Fuel Your AI — Quality Training Data for African Contexts
AI models are only as good as their training data. And here's the problem: most global AI datasets dramatically underrepresent African languages, accents, faces, contexts, and use cases. The result? AI products that fail when deployed in African markets.
Our AI/ML Data Collection & Augmentation service provides high-quality, ethically-sourced training data specifically for Ugandan and East African contexts. From speech recordings in local languages to annotated images reflecting local environments, we help you build AI that actually works for African users – not just Western ones.
Image & Video Data
Faces, objects, environments, and activities – annotated with bounding boxes and segmentation.
Text Data Collection
Local language corpora, social media content, transcriptions with NER and sentiment labeling.
Quality Assurance
Multi-tier review pipelines with 98%+ accuracy standards and ethical sourcing practices.
Our Capabilities
What we deliver for your AI/ML training data needs
Ugandan Languages
Luganda, Runyankole, Runyoro, Acholi, Ateso, Lugbara, Lango, Swahili.
Vetted Contributors
Network of vetted contributors across Uganda and East Africa.
Quality Control
98%+ accuracy standards with multi-stage quality assurance.
Ethical Collection
Proper consent and fair compensation for all contributors.
Scalable Solutions
From pilot datasets to millions of samples as needed.
Fast Turnaround
Weeks, not months – rapid delivery for your projects.
Why Choose Us
The largest and most diverse network of Ugandan data contributors with rigorous quality standards.
- Diverse Ugandan contributor network
- Local language & cultural expertise
- Ethical sourcing & fair pay practices
- Rigorous multi-stage QA
- Flexible engagement models
- Competitive global pricing
IDEAL CLIENTS
Who It's For
Our data services help AI companies build products that truly work for African users.
AI/ML Companies
Companies and research labs building AI solutions.
Tech Companies
Technology firms building products for African markets.
Voice Assistants
Speech recognition and voice assistant developers.
Computer Vision
Computer vision and image recognition startups.
NLP Developers
Natural language processing and LLM developers.
Automotive
Companies needing African road and driving data.