An AI assistant that speaks your language.
ÒreAyò is a voice-first AI system designed for Nigerian languages, starting with Yorùbá, Ìgbò, and Hausa.
The first speech recognition capability has moved from research into internal validation.
ÒreAyò can now transcribe controlled speech in Yorùbá, Ìgbò, and Hausa inside the research environment.
This is an important step, but it is not the finished assistant. Public access is not yet available, and real-world testing is still needed before broader use.
Yorùbá
Speech recognition validation
Ìgbò
Speech recognition validation
Hausa
Speech recognition validation
Language should not be a barrier to technology.
Voice technology has advanced rapidly, but it still leaves millions of people behind.
Most voice assistants are built for a small set of global languages, often failing to understand local speech, accents, and everyday expressions.
ÒreAyò exists to bridge that gap by starting with the languages Nigerian families already speak, not as an add-on, but as the foundation.
What is ÒreAyò?
Conversational by design
Built for Nigerian languages
Human-centred
What ÒreAyò is being built to do
The capabilities below represent ÒreAyò's intended direction. The full assistant is not publicly available yet.
Conversational voice assistance
Natural, spoken conversations in indigenous languages.
Ask and understand
Ask questions in your own language and receive clear, spoken responses.
Voice-assisted actions (early stage)
Voice notes, explanations, and guided step-by-step help.
Language inclusion and accessibility
Making AI usable for parents, elders, and communities often excluded from modern technology.
Language support roadmap
Pre-release statusBuilt responsibly from day one.
ÒreAyò is being developed with a strong focus on privacy, safety, and ethical research practices.
We prioritise transparent progress and responsible data use.
Clear communication about limitations is part of building trust especially during early research stages.
Follow the journey.
ÒreAyò is currently in active research and development, with its first speech recognition capability in internal validation.
Join the waitlist to receive updates as the project progresses, or follow our research journey as we build toward public access.