Maternal health guidance
in every language

MULAMU (Maternal Understanding through Language-Aware Multimodal AI in Uganda) builds open, multilingual AI models that deliver evidence-based prenatal and postnatal care information in Luganda, Runyankore-Rukiga, and Swahili — as text and audio — co-created with the communities they serve.

Addressing the critical gap where fewer than 60% of pregnant women in Uganda attend at least four WHO-recommended antenatal visits, MULAMU fine-tunes LLMs in regional languages and deploys them via mobile apps, web platforms, and SMS to ensure accessibility across varying levels of digital literacy.

Our team

The minds behind MULAMU

Dr. Kimera Richard

Dr. Kimera Richard

Principal Investigator

MUST, Uganda

Dr. Fred Kaggwa

Dr. Fred Kaggwa

Co-Principal Investigator

MUST, Uganda

Emmanuel Maleka

Emmanuel Maleka

MUST, Uganda

Rogers Kuyeso

Rogers Kuyeso

AI Engineer

MUST, Uganda

Built across continents

Mbarara University of Science & Technology

Mbarara University of Science & Technology

Makerere University

Makerere University

Handong Global University

Handong Global University

Ghent University

Ghent University

Faculty of Medicine and Health Sciences

Faculty of Medicine and Health Sciences

Get involved

Help us reach more mothers

Whether you're a clinician, linguist, ML researcher, or funder — there's a place for you in MULAMU.