Pula
Data-driven crop insurance that protects smallholder farmers against drought, flooding and other losses without costly individual damage inspections.
About
Pula bundles index insurance with products such as seeds, fertiliser or credit, enabling farmers who were previously uninsured to gain access. Payouts are based on average yields or weather conditions in a defined agricultural area and are verified with field measurements. A CGAP case study on joint work with Pula calculated roughly 43 percent lower costs for yield measurements in regions in Nigeria and Kenya. This is a historical model calculation from 2018/2019, not a current impact measurement among farmers. Index insurances do carry basis risk: the outcome for an area can differ from the damage on a specific farm.
AI factor
Machine learning combines satellite, weather and field data to determine agro-ecological zones and yield patterns. This allows Pula to price risks and plan samples more efficiently; actuaries and field teams continue to verify the data and payouts.
Sources
Inspiration sourced from AI For Good. Not an Arnaldus customer case.