Awarri: Standardizing High-Quality Language and Image Datasets for West African AI Developers
Awarri curates, labels, and validates datasets for West African languages, enabling more representative model training.
Siyanda. M
Senior technology journalist tracking ecosystem developments, investment flows, and software innovation hubs across the continent.
Published: 4 July 2026
Updated: 4 July 2026
Artificial intelligence requires data. But for West African languages like Yoruba, Igbo, and Hausa, high-quality annotated training data is virtually non-existent on the open web.
Awarri is a Lagos-based data annotation company that bridges this gap by coordinating teams of native language experts to build high-fidelity datasets.
Custom Voice Sourcing
Awarri builds speech datasets by recording thousands of speakers across varying ages, accents, and recording conditions.
This data is transcribed and annotated to train voice-activated customer service tools, accessibility services, and local language educational systems.
Image and Object Labeling
In addition to language text and audio, Awarri labels localized image datasets for retail and transport.
By tagging regional vehicles, street conditions, and local product packaging, they help computer vision developers build tools that work accurately in African cities.
Learn more at awarri.com.
