Input
Bulanai Type
A predictive input method that learns a user's phrasing on the device, with transliteration and code-switching handled inside the keyboard.
Natural language systems
Language,
engineered
end to end
Bulanai builds the NLP layer behind everyday products: the keyboard people type on, the voice that reads their books, and the companion that talks back.
> type.predict("almaty ke")
< "Алматыға келесің бе?"
01
Product capabilities
Voice
Bulanai Audio
Long-form narration with chapter-aware pacing, controllable prosody and character voices that stay consistent across a whole book.
Dialogue
Bulanai Companion
Companion agents with persistent memory and real-time voice, built to hold a character over hundreds of hours of play.
02
Technical advantages
A1
One language core
Input, narration and dialogue share a single model family, so an improvement in one surface reaches the others.
A2
Runs on the device
Compressed models keep typing and speech local, so latency and privacy do not depend on a network round trip.
A3
Thin-corpus training
A pipeline built for morphologically rich and low-resource languages, where clean data is scarce by default.
A4
Voice as parameters
Pace, emphasis and prosody are exposed as controls rather than baked in, so editors direct the read instead of re-recording.
See it decode your language
Send a sample corpus and we will run it through the stack live — input, narration and dialogue, in one session.