About TaurAi
Institutions write in English. The people they serve often do not read it.
TaurAi is built for the gap in between: the referral letter, the summons, the school report, and the public notice that has to be understood to do its job.
About TaurAi
TaurAi is built for the gap in between: the referral letter, the summons, the school report, and the public notice that has to be understood to do its job.
Over 2,000 languages are spoken across Africa, yet most technology only understands a handful. TaurAi exists to change that — starting with the highest-impact languages across Southern and East Africa.
We work on the African languages most tools skip: Shona, Ndebele, isiZulu and Sesotho in the south, Swahili, Amharic and Kinyarwanda in the east, Hausa, Yoruba and Igbo in the west.
Native speakers review output and correct it. Those corrections feed back in, and institutions can add their own glossary so court, clinical and administrative terms land the way they use them.
We do not sell personal data. Organisation workspaces keep documents inside your team, with an audit trail of who opened what. Our Privacy Policy sets out exactly who we share data with and why.
The same pipeline runs one referral letter or a batch of public notices, through the dashboard or the API, so a clinic and a ministry use the same tool.
Key milestones in TaurAi's story so far.
TaurAi started, focused on African language document translation.
First translation model trained on Shona–English parallel corpus.
Platform launched with 16 languages, document intelligence, and audio generation.
Glossary customisation added so institutions can fix domain terminology themselves.
Organization dashboards, multi-tenant support, and WhatsApp delivery rolled out.
Coverage reached 44 languages across 52 countries, 38 of them live.
Founder & CEO
Started TaurAi to close the gap between what institutions write and what the people they serve can read.
Language Technology
Works on translation quality for low-resource African languages, where training data is scarce.
Lead Engineer
Builds the document pipeline: upload, extraction, translation, audio, and delivery.
Linguistic Coordinator
Coordinates the native-speaker reviewers who check and correct translations.
Start with two free translations, or talk to us about a wider rollout.