Product 02 · Early access
Your dialect is fading.
Help it live on.
Across Africa, dialects are vanishing faster than anyone records them — and the technology shaping daily life can't understand them. Language Intelligence puts that in native speakers' hands: your voice helps build living, consented corpora that teach machines every tongue and dialect — powering education, apps, localization, and the everyday services people use in the words they actually speak. Your voice stays yours — used only with your permission, and you can take it back anytime.
The problem
Two thousand languages.
Zero infrastructure.
Global assistants don't speak here
Voice interfaces built in California handle Yoruba, Hausa, Igbo, and their dialects poorly or not at all — locking hundreds of millions of people out of voice-first computing.
Cloud transcription is a data grab
Sending African speech to foreign clouds to be understood means exporting the most personal data there is — and building someone else's corpus for free.
Unmodeled languages fade
Languages that never make it into the digital layer lose ground with every generation. Modeling them — with consent, on the speakers' own terms — is preservation with a business model.
How it works
Consented corpora in.
On-device models out.
Build with native speakers
Corpora are recorded with informed, revocable consent from native speakers — dialect by dialect, not "one model per country".
Compress to the device
Models are distilled to run wherever people speak — mid-range handsets, cars, watches, kiosks, smart TVs, call lines — with no network dependency for inference.
Understanding, everywhere
It disappears into the products people already use — the banking app, the ticket kiosk, the service line, the car dashboard. People get understood in their own language; their voice stays with them.
Guarantees
Understanding
without uploading.
- Inference on the device. Speech-to-text and intent understanding run locally — on the phone, in the car, on the watch, at the kiosk. Audio is never transmitted for recognition.
- Consented, revocable corpora. Every training voice was recorded with explicit consent — and that consent is revocable at any time.
- No shadow corpus. Production audio is never harvested for training. Where partners opt in, models improve by federated learning — the weight update leaves the device; the voice never does.
- NDPA-native licensing. Data residency and consent trails are contractual deliverables to every licensee, not an appendix.
Early access
Building a device, a bank, or a public service?
Speak Yorùbá, Hausa, Igbo, or Pidgin? The corpus is being recorded right now — your voice, with your consent, revocable any time. Building a device, a bank, or a public service? We're selecting partners for the first language packs.