African languages are underrepresented in modern AI systems, limiting accessibility and innovation across the continent.
of African languages lack sufficient training data for modern AI systems
of existing datasets cannot be licensed or commercialized for production use
of datasets miss critical dialects, accents, and code-switching patterns
African Language Data
We work with native speakers and controlled sources to ensure authentic, high-quality data collection that captures real-world language usage.
Rigorous validation through inter-annotator agreement, word error rate, F1 scores, and comprehensive error analysis guarantee dataset reliability.
Access exclusive and semi-exclusive datasets ready for commercial deployment, with flexible licensing options for your use case.
Annotated Igbo text in speech form. Natural language flow. Authentic conversational structure. The linguistic nuance that makes African languages impossible to replicate without native speakers.
5,000+ hours of validated Nigerian Pidgin speech data with transcriptions, covering multiple accents and code-switching patterns.
2M+ sentence pairs for machine translation, validated by native speakers with domain expertise in news, education, and commerce.
10,000+ hours of high-quality Swahili speech from 200+ speakers, optimized for TTS and voice cloning applications.
Comprehensive benchmark suite for Igbo including sentiment analysis, NER, and text classification with gold standard annotations.