We believe people should not have to leave their language behind to access knowledge, opportunity, intelligence, or the tools that shape tomorrow.
Access should not require linguistic surrender. No one should be locked out of the world's knowledge because the most powerful technologies do not speak their language. Everyone should be able to learn, create, solve problems, and help shape the future — regardless of language or location.
Build Bantu-language AI infrastructure at family scale. We systematically curate Bantu family data and build the infrastructure, evaluation systems, linguistic resources, and model-improvement tools that help AI systems master Bantu languages with the competence they show in English.
No Bantu language left behind. No LLM left behind. We envision a world where every community can access, use, and contribute to the world's knowledge on its own terms — with fluent, competent, culturally grounded AI available in the languages people actually speak.
One consented, time-segmented Bantu→English recording is not a single labelled example. It is the ground truth for six things frontier labs otherwise buy from six vendors — so a Full Annual Subscription licenses the whole substrate, not a file.
Natural Bantu→English switching with a known switch point — pre-labelled training and evaluation data for code-switch recognition and language ID.
The English half, spoken by native Bantu speakers — accent-robustness and fairness data for African speech.
Each word decomposes into its language's Full Syllable Inventory — the tone-bearing units an aligner needs.
Consented native pronunciations keyed to meaning — a clean, tone-aware basis for speech synthesis.
A turnkey accent-robustness eval set with a frontier baseline — the segmentation is already structured data, so there is no labelling vendor and no drift.
Clinical terms, spoken numerals, tonal minimal pairs — the meaning that flat text cannot encode and a model cannot self-certify from letters.
Hear it proven, live — each plays one real consented recording and shows the six datasets it yields: Tone · Health · Numbers.
License the program, not a dataset.
Every community should access, use, and contribute to the world's knowledge on its own terms.