Bridging satellite intelligence and the African smallholder farmer — in their own language, through tools they already use.
Ijumaa Data Analytics was founded on a simple belief: the most advanced earth observation technology should serve the people who feed the continent. We process satellite data, climate models, and government agricultural databases — and translate them into actionable, voice-first guidance for farmers.
Our name means "Friday" in Swahili — the day of gathering, of markets, of community decisions. We are the information farmers need before every harvest.
Real-time earth observation data processed daily for hyperlocal insights.
Swahili first. Designed for communities, not just tech adopters.
Reaches farmers on tools they already trust and use daily.
Adaptive planting guidance built for the changing African climate.
Fufunuo means "revelation" in Swahili — the moment hidden knowledge becomes visible. It is our AI-powered agricultural advisory platform, delivered through voice and text in Swahili.
Hyperlocal precipitation forecasts derived from EO data. Farmers receive advance notice of rain windows for planting and harvesting decisions.
"Mvua itanyesha Jumanne — panda wiki hii."
Crop recommendations matched to soil conditions, seasonal patterns, and real-time climate signals from satellite imagery.
"Panda mahindi sasa, mazingira ni mazuri."
Timely reminders and government subsidy alerts. Farmers know exactly when to apply and where to source subsidised fertiliser.
"Ruzuku ya serikali inapatikana wilayani."
Real-time commodity prices from regional markets and government agricultural policy updates — so farmers negotiate from knowledge.
"Bei ya mahindi: KES 4,200/gunia — leo."
Satellite imagery, meteorological feeds, and climate models are ingested and processed daily for East Africa.
Our models interpret soil moisture indices, NDVI, rainfall probability and government data for each micro-region.
Complex insights are transformed into simple, clear voice and text messages in Swahili — no technical literacy required.
Farmers receive personalised alerts and can ask follow-up questions through the platform they already use.
Smallholder farmers lose up to a third of their potential yield due to mistimed planting and lack of weather information.
Smallholder agriculture feeds the majority of the developing world. Empowering these farmers has outsized global impact.
Fufunuo meets farmers where they are — no app download, no new device, no learning curve required.
We process freely available ESA Sentinel-2 and NASA MODIS satellite data to map vegetation health, surface moisture, and land-use patterns at farm level.
Historical and forecast climate data from the Copernicus Climate Change Service feeds our predictive models for hyper-local rainfall and temperature forecasting.
Our language layer converts geospatial intelligence into conversational Swahili — supporting both text and voice I/O for low-literacy users.
Direct feeds from national agricultural ministries, fertiliser subsidy programmes, and commodity market databases complete the picture for every farmer.
Join our pilot programme launching in Kenya and Tanzania. We are looking for farmer cooperatives, agri-NGOs, and impact investors to grow with us.