Underwrite the physical world, not just the paperwork.
Connect financed and insured assets to verified farm identity, production potential, in-season change, climate exposure and regional concentration, then keep the risk file alive after origination.
Explore financial risk intelligence“Which agricultural exposures are deteriorating, what physical-world evidence explains the change, and where should the risk team act first?”
Decisions improved
Start with the operating decision.
Originate with verified asset evidence
Monitor risk through the season
Stress-test climate and concentration
Support claims and loss prevention
Ask where portfolio risk is changing and why.
OrbitAI connects production outlook, pricing stability, cost inflation, climate scenarios and geographic concentration, then returns a reviewable brief for credit and risk leadership.
ASK ORBITAI“Generate a credit-risk and portfolio-health assessment for our commercial agricultural exposure. Show current production outlook, borrower-distress indicators, downside scenarios and recommended concentration limits or covenants.”
- 01
Rank changing exposures
- 02
Test DSCR and LTV sensitivity
- 03
Recommend covenants and monitoring
Four evidence layers behind every risk decision.
Move from verified asset identity to in-season monitoring, downside scenarios and geographic concentration. Each view remains complete, readable and available for review.
Begin with a verifiable asset profile.
Connect season, crop, area, irrigation, production history and an explainable score in one reviewable view.
Operating path
How teams put it into operation.
- 01
Connect the exposure
Link the borrower, insured party, farm, crop, season, geography and policy or credit context.
- 02
Monitor material change
Update production, crop health, weather, water and regional signals through the life of the exposure.
- 03
Govern the decision
Expose evidence, uncertainty and model provenance for review under lender or insurer policy.