Crane AI Labs
GITEX Kenya trilateral demo
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 2.0 & AkiliCode · 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)
Code Generation Research Model
VoicERA
Voice orchestration integration
MyKatiba
Distribution platform
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 Safaricom IVR logs, M-Pesa transactions, and agricultural advisory scripts.
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.