Togo AI Lab's National-Language Challenge — Crowdsourcing Speech and Translation Models for 50 Togolese Languages

Togo's Ministry of Public Service Efficiency and Digital Transformation, led by Minister Cina Lawson, created Togo AI Lab to address a structural gap: most Togolese citizens do not speak French, the language used across government digital services, as a first language, yet almost no AI tools exist for Togo's roughly 50 national languages.

Togo AI Lab is running four open competitions on the Zindi data-science platform, in partnership with the Togolese startup Umbaji and the University of California, Berkeley's Center for Effective Global Action (CEGA), to build automatic speech recognition, text-to-speech and machine-translation models. Each of the 50 target languages — including Ewe, Mina, Kabiyè, Tem, Moba and Bassar — needs at least 50 hours of validated voice recordings and 6,000 translated sentence pairs; the four competitions share a $40,000 prize pool. Funding and technical support come from Google.org, the Patrick J. McGovern Foundation, the Fund for Innovation in Development and Germany's GIZ.

The initiative was presented at the AI for Good Global Summit in Geneva in July 2026. As of that presentation, no models had been deployed into an actual government service and no usage or accuracy results had been published — the project is still in the data-collection and competition phase, and its stated aim of improving access to digital public services depends on integrating the resulting open models into real platforms, which has not yet happened.

Read the full analysis: https://www.togofirst.com/en/culture/1407-19561-togo-unveils-ai-project-to-promote-national-languages