28% Fewer Preventable Claims
Early intervention based on soil alerts reduced preventable claims by 28% among participating policyholders.
Move from reactive claims to proactive prevention. Use real-time soil data to identify at-risk fields, optimize coverage, and offer soil-linked insurance products.
Book a DemoTraditional crop insurance models miss early signals that could prevent claims.
Claims are filed after damage occurs. There's no mechanism to detect soil stress early and intervene before yield loss happens.
Policyholders may not manage soil optimally. Without monitoring, you're exposed to moral hazard and adverse selection.
Pricing can't reflect actual soil health and management quality. Good managers subsidize poor ones — losing your best customers.
Assessing damage requires field visits and expert judgment. Claims processing is expensive, slow, and sometimes inaccurate.
Transform soil data into better risk management.
Soil stress signals appear 30-60 days before visible crop damage. Alert policyholders to take preventive action.
Build soil-health-based risk scores for every policy. Price coverage more accurately and reduce adverse selection.
Send policyholders real-time alerts when their fields need attention. Prevention is cheaper than claims.
Design soil-index insurance products that trigger automatically based on sensor data. Faster payouts, lower admin costs.
Use sensor data as objective evidence for claims processing. Reduce fraud and speed up legitimate payouts.
Reward policyholders who maintain soil health with better rates. Align incentives for long-term resilience.
Early intervention based on soil alerts reduced preventable claims by 28% among participating policyholders.
Sensor data provides objective, timestamped evidence for claims — reducing processing time from weeks to days.
Soil health data enables 15-20% improvement in risk selection accuracy, improving loss ratios.