African Language AI
Voice AI built for Africa's languages
FiniFlow Labs trains, evaluates, and deploys speech AI systems grounded in African linguistic data. Our first system, SAUTI, delivers accurate Swahili speech recognition and natural voice synthesis through production APIs.
Our Mission
Every African language deserves a voice
Voice AI has transformed how people interact with technology — if they speak English. For the billion-plus speakers of African languages, the technology simply doesn't exist yet.
FiniFlow Labs is building voice AI from the ground up for African languages. Our APIs deliver natural text-to-speech, accurate speech recognition, and intelligent voice agents — engineered for the languages, accents, and infrastructure of the continent.
Kiswahili
200M+ speakers
LiveHausa
150M+ speakers
In DevelopmentYoruba
50M+ speakers
In DevelopmentAmharic
60M+ speakers
In DevelopmentProducts
Platform roadmap
SAUTI TTS
v1.0 — Swahili
Serves synthesized Swahili audio via a low-latency REST API with multiple voice options including voice cloning.
SAUTI ASR
v1.0 — Swahili
Swahili speech-to-text, fine-tuned for the way Swahili is actually spoken. Halved the error rate of multilingual baselines.
Earphone Translation
Beta — Real-time Earphone Translation
Real-time voice translation for English and Kiswahili conversations. Powered by a streaming pipeline that captures speech, translates it, and speaks it back through earphones.
Voice Agent
Live — Demo Available
Full Swahili voice agent: speak Swahili, get an AI response in Swahili. Combines ASR + LLM + TTS in a seamless pipeline.
Voice Cloning
Beta
Zero-shot voice cloning from a short audio sample. Upload reference audio, get a personalised voice you can drive through the TTS API.
Research
Grounded in African linguistic data
We build on open datasets and pretrained multilingual models, then apply targeted fine-tuning to close the performance gap between high-resource and African language voice AI systems. All model weights, training configs, and evaluation results are published openly.
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