Field-level AI that turns plot data into decisions
Elevarm reads soil composition, rainfall patterns, and regional market signals to give each smallholder farmer a recommendation calibrated to their specific plot, not a national average.
Three layers of intelligence, one simple advisory
Elevarm combines agronomic science with real-time field data so every recommendation has a traceable basis the farmer can verify.
Plot registration
A farmer or Mitra partner registers plot boundaries and notes existing soil conditions. No sensors required. The system uses cadastral data and satellite soil-class maps to fill the baseline.
AI model runs
The Elevarm engine cross-references plot data with historical yield records, regional weather, and current input prices to generate a planting season plan specific to that hectare.
Advisory delivery
Recommendations arrive via WhatsApp or the Elevarm app in Bahasa Indonesia. Farmers receive variety selection, fertilizer dosing schedule, and harvest timing signals before each key decision.
What the model reads before making a recommendation
Results from our early-access cohort
After one full planting cycle with our initial group of West Java smallholders.
Recommendations that arrive before the decision window closes
The hardest part of agronomy advice is timing. A correct variety recommendation given the week after planting is useless. Elevarm sends advisories before each key decision: planting date, fertilizer split, and harvest window.
Farmers receive push notifications and WhatsApp messages in Bahasa Indonesia with a plain-language explanation of the recommendation and the reasoning behind it.
See the farmer experience