The problem

  • -Agriculture absorbs climate risk that no one can price: rainfall deficits, crop stress, and yield shocks are field-level events — but the data reaching financial institutions has always been regional, lagging, and too coarse to drive individual lending or insurance decisions.
  • -Farmers are creditworthy but unmeasured: they don’t lack repayment intent — they lack a data trail. Without farm-level evidence, lenders deny credit and insurers price coverage out of reach, leaving smallholders exposed and disconnected from the capital they need.
  • -AI-processed satellite data is the missing layer: near-daily satellite monitoring, fed through machine learning models, resolves farm-level vegetation stress, yield forecasts, and climate triggers at the granularity that financial institutions need to extend credit and parametric insurance — and that farmers need to finally access both.
The agricultural data gap

Finance Dashboard (interactive demo)