Drones are our sensors. Data is our asset. Intelligence is the product.

The data no one else has

Global agricultural AI is trained on Iowa corn and Brazilian soy — large, uniform, mechanized fields. It performs poorly on intercropped two-hectare farms in Kakamega or Uasin Gishu. Building AI that works for African smallholders requires ground truth from African smallholder farms, and that data barely exists at scale.

We collect it every working day. Each mapping flight, spray run, and soil sample adds labeled, georeferenced data to our platform: multispectral imagery tied to real soil chemistry and real interventions.

What our platform does today

  • Analyzes multispectral drone imagery to flag crop stress, pest pressure, and nutrient deficiency at the sub-plot level

  • Optimizes flight paths and spray coverage so a two-hectare farm can be serviced at KES 1,000/acre — the same rate a tractor charges, with no diesel burned

  • Pairs imagery with lab-grade soil analysis to generate per-farm fertilization and irrigation recommendations

What we are building

  • Pest and disease detection models trained on East African crops — armyworm, maize lethal necrosis, coffee berry disease

  • Farmer-facing advisory delivered by SMS and WhatsApp: plain-language recommendations from the same intelligence estate farms pay consultants for

  • A research partnership with KALRO to ground-truth and validate our models on Kenyan crops

The drone fleet is how we serve farmers today. The dataset it generates is how we serve the continent tomorrow.