• Kenyan tech entrepreneur Daniel Litunya founded Dairy Sense to automate on-farm milk quality testing using artificial intelligence.

• The solution claims 98% accuracy and targets revenue gains of up to 50% for dairy farmers while enabling early disease detection.

• The technology has reached farmers across 47 counties in Kenya since the company’s launch in 2024.

Daniel Litunya (photo) works as a Kenyan computer scientist and technology entrepreneur. He founded and leads Dairy Sense, a company that helps African dairy farmers earn more from their activity by providing a fast and simple tool to check milk quality directly on the farm.

Founded in 2024, Dairy Sense aims to transform dairy farming in Africa by giving small-scale producers access to on-site technology that tests milk quality and detects herd diseases at an early stage. The company targets lower waste, higher farmer incomes and healthier livestock.

Dairy Sense relies on artificial intelligence-based milk quality tests. The solution delivers immediate results on the farm with accuracy comparable to laboratory analysis. The system also enables early detection of health issues such as mastitis, which limits disease spread and protects milk production. At the same time, the technology reduces post-harvest losses.

Dairy Sense extends its offering beyond hardware and software tools. The company also supports farmers through comprehensive training programmes that strengthen skills and technical knowledge. Farmers have adopted the solution across 47 counties in Kenya.

The start-up reports 98% accuracy in its milk quality tests. The company also says the solution can increase dairy farmers’ incomes by nearly 50% by reducing rejection rates and improving milk pricing.

Alongside his role at Dairy Sense, Daniel Litunya works as a backend developer at Kre8.Hub, a platform that provides African creatives with tools, resources and infrastructure to develop, scale and monetise their work.

Litunya also represents young people at the World Food Forum. He holds a degree in computer science from United States International University–Africa.

This article was initially published in French by Melchior Koba 

Adapted in English by Ange J.A de Berry Quenum