Ceres for insurance and lending
Evolve your risk modeling strategy to perform in a changing world
“The new information Ceres produces actually streamlines the underwriting process for agricultural insurance with its more complete analysis of risk.”
"Agricultural risk technology makes advances"—Digital Insurance
Take accurate inventories
Automate data collection for underwriting, pre-inspection, and production reports. Our highly trained algorithms use cutting-edge computer vision techniques and have been validated through research collaboration with NASA, the University of California—Davis, and more. Available data includes:
- Crop acreage and counts
- Field boundaries
- Harvest date
- Plant date
- Historical crop data
Respond to loss claims
Quickly and accurately measure storm impacts across your portfolio, expediting the claims process by 25% while optimizing indemnity calculations by 5%. We are leaders in the use of convolutional neural networks to segment out ground cover and soil, so you can quantify impact down to the plant level. Covered perils include:
- Hail damage
- Wind damage
- Frost damage
- Prevent plant/replant
- Flood damage
Forecast and balance risks
Synthesize real-time risk data at both the portfolio and individual farm level. Ceres' holistic view combines high-resolution imagery, IoT field sensors, and satellite-based analytics to forecast yield risk and help you take action. Calculate potential payouts, adjust risk models, and provide farmers with timely recommendations to protect their crop. We evaluate and provide risk insights on:
- Crop mix
- Planting and emergence
- Crop health and productivity
- Harvest outcomes
“Overall, 87% of [agriculture finance] respondents expect climate change to pose a material risk to their businesses.”
“[Ceres] saved us a ton of time, since we didn't have to do as much surveying of individual fields.”
“After investigating several drone, satellite and aerial imagery options, Ceres AI was found to provide the best results at an economical price.”