AI Should Understand
African Languages
The problem
Most African languages are barely written online.
How classic AI works
But when there is almost no text, the model learns poorly.
We show real photos, everyday scenes, objects and videos to native speakers — and ask them to describe what they see in their language.
"Most AI models learn languages from text.
But many African languages live primarily in speech.
Our approach learns directly from the world people see."
Learn from real life
AI that learns languages from the world
Instead of relying on written datasets, speakers simply describe what they see.
Market scene
“Nzoni na zando, bato bazali kosomba mbuma.”
A busy market where people are buying fruits.
Cooking cassava leaves
“Nzapa na saka saka ezali kolamba malembe.”
Cassava leaves cooking slowly.
The world becomes the dataset.
Built with respect
Data that gives back.
Speakers are paid, not scraped.
Every voice in our dataset belongs to someone who was fairly compensated for their contribution.
Communities own their data.
Linguistic data remains the collective property of the communities it comes from.
Consent is not optional.
Every recording starts with informed, documented consent — no exceptions.
AI should enrich Africa, not extract from it.
Download our datasets
Let's build the next African AI — together.
Tell us what you need. We'll get back to you within 48 hours.
Non-exclusive and exclusive licenses available