VoicERA
Voice orchestration and workflow automation stack integrated with Sauti for the GITEX Kenya live demonstration.
Culturally-
Grounded AI
Swahili speech models and research tools built deep for East Africa, delivering WER < 12% accuracy and sub-200ms latency for enterprise applications.
● Sauti ASR & TTS API · Now Available
About
MsingiAI
Who we are
↗We are an AI research and platform company based in Nairobi, Kenya. Our mission: build Sauti, a good dedicated Swahili speech model, and make it the infrastructure layer for African enterprise voice applications.
Products
Enterprise products and open academic research.
We Are Trusted By Leading Organizations And Developers
Built With.
Trusted By.
From GITEX Kenya demos to active enterprise pilots across East Africa.
Monarch (Africa Compute Fund)
In active dialogue with Monarch, Africa Compute Fund's model distribution platform, to expand Sauti's reach across African developer ecosystems.
MyKatiba
Partnership to power Swahili voice accessibility and legal text query interfaces for Kenyan constitutional literacy and civic engagement.
Crane AI Labs
Collaborated on the GITEX Kenya 2025 trilateral voice AI demonstration. Crane AI Labs brought VoicERA orchestration infrastructure to the joint demo.
Why
MsingiAI
Not Translation. Understanding.
Cultural depth, not translation
Kenyan vs. Tanzanian Swahili, M-Pesa vocabulary, and Ubuntu-aligned norms that global models miss.
Real East African data
Trained on local datasets with real East African languages, accents, and enterprise use cases.
40% token efficiency
Our Swahili tokenizer is 40% leaner than generic multilingual alternatives, driving lower costs and faster inference.
In-memory audio privacy
Voice inputs are evaluated transiently in RAM and discarded immediately. Zero storage without opt-in.
Ready to Build on Africa's Voice Infrastructure?
Whether you are integrating Sauti, evaluating AkiliCode, or exploring a research partnership, let's talk.