Published
AWPAL2026
The Case for Swahili NLP: Addressing Linguistic Gaps in a Vital African Language
Makes the case for investing in language technology for Swahili and sets out the gaps that stand in the way.
Read the paperPublished work
Research
Our engineering rests on published work in African-language AI and applied machine learning. These are the papers behind it.
Published
American Journal of Networks and Communications2026
Predicting Customer Churn in the Telecommunications Industry using Machine Learning Techniques
Applies machine learning to predict which telecommunications customers are likely to leave.
Read the paperPublished
American Journal of Artificial Intelligence2025
Bridging Swahili Communication Gaps: Real-Time Audio-to-Text Sentiment Analysis via Pre-trained NLP
Turns spoken Swahili into text in real time and reads the sentiment, using pre-trained language models.
Read the paperUnder review
With Guild Code Community
Deep Learning Based Classification of Currency
Uses deep learning to classify currency. Developed with Guild Code Community and currently under review.
Research
Sema: from research to product
Sema is where our Swahili NLP research becomes usable: transcription, translation and sentiment for real conversations, including the code-switching that is normal across East Africa.
See Sema on the Ventures pageAffiliations. Our team contributes to KenyaNLP, iLabAfrica at Strathmore University, and AAIAC.