Ë yeke sâra âyë ti bata yângâ ti ködörö

We build the language layer for Africa

Translation models, datasets and tooling for African languages, starting with Sango. Every number on this page carries its source, including the ones that do not flatter us.

Start a pilotRead the evaluation (opens in a new tab)

Translate into Sango

0 / 200

Free, no key, no sign-up. The same model is available for research under an open licence.

What we can prove

Five numbers, each with its source, its method and the date it was read. Click any chip. The full set, with definitions, is on the metrics page.

All our numbers, with their definitions

What we have built

Three things you can check today without talking to us.

MEYNG API

Translation into Sango over a REST endpoint. The demo above is the same API, with no key. Pilot access is free while we tune it.

eNdara on WhatsApp

A Sango learning bot on WhatsApp, live since April 2026. No install, works on any phone.

Message the bot (opens in a new tab)

Published datasets and models

A trilingual Sango vocabulary dataset (CC BY-SA 4.0) and a fine-tuned translation model (CC BY-NC 4.0, research use), both public, both with their evaluations attached.

Open research

Published with the licence of each artifact stated plainly, and the failures documented alongside the wins.

Sango to French translation model

Fine-tuned from NLLB-200. Beats the baseline out of distribution in the Sango to French direction on two independent benchmarks; loses to it in the other direction, which the model card states plainly.

Research use only, CC BY-NC 4.0, inherited from the base model.

Sango to French translation model (opens in a new tab)

Sango vocabulary dataset

Trilingual Sango, French and English entries with per-entry provenance and review status. Entries that cannot be verified are withdrawn, and the audit trail is public.

CC BY-SA 4.0. Commercial use allowed.

Sango vocabulary dataset (opens in a new tab)

sango-nlp toolkit

Tokeniser, stemmer and language detection for Sango, on npm.

MIT.

sango-nlp toolkit (opens in a new tab)

The public web-mined Sango corpus advertises 588,039 sentence pairs. After removing duplicated targets, verse numbers and speaker labels, 45,451 pairs survive. Our earlier models learned those artefacts and regressed; the cleaning pass and the gate that now blocks such a release are described in the model card.

Start a pilot

If you work in government, an NGO or a company that needs an African language in a product, tell us what you are building. Pilots are free while the API is in pilot.

Start a pilotRead the evaluation (opens in a new tab)