Monitor every field you finance.
FarmHawk deRISK gives agricultural lenders satellite-powered portfolio monitoring, per-parcel risk scoring, and an immutable audit trail for every loan.
$200B+
in smallholder credit demand goes unmet every year
The problem
Lenders cannot assess or monitor agricultural portfolios at parcel level. Without field-level crop intelligence, underwriting relies on self-reported data, portfolio reviews happen quarterly at best, and early signs of crop failure go undetected — until the loan defaults. The result: agricultural lending stays high-risk, high-cost, and chronically under-served.
How deRISK works
STEP 01
Map borrower farms
Institution maps each borrower's parcels into the platform — field boundaries, crop declarations, and loan metadata linked in one record.
STEP 02
Weekly satellite reads
Every parcel is scanned weekly with Sentinel-2 optical and Sentinel-1 radar imagery. Health indices are computed automatically.
STEP 03
AI flags stress
Machine-learning models detect vegetation stress, drought risk, and crop anomalies. Alerts are sent to portfolio managers before losses materialise.
STEP 04
On-chain audit trail
Every observation, score, and alert is recorded on-chain — creating a tamper-proof audit trail for regulators and internal compliance.
Key capabilities
Portfolio-wide crop monitoring
Track vegetation health across every financed parcel from a single dashboard — no field visits required.
Per-parcel risk scoring
Each parcel receives a composite risk score updated weekly, combining crop health, weather exposure, and historical performance.
Automated alert triggers
Configurable thresholds trigger alerts when parcels cross stress, drought, or anomaly boundaries.
Loan book dashboards
Aggregate portfolio views with drill-down to individual borrowers, branches, and regions.
On-chain attestation
Immutable records of every satellite observation and risk assessment — audit-ready from day one.
Ready to de-risk your portfolio?
See how deRISK can transform your agricultural lending operations.