Closing the basis risk gap
In parametric insurance, "basis risk" occurs when the weather measurement at a distant station doesn't match the client's actual experience. Relying on public airport data (often tens of kilometers away) increases this risk.
Weatherwise minimizes this gap. We generate gridded weather data at hectometric scales (200m – 1km), effectively placing a virtual weather station at every insured asset's location. This precision allows for products that are fair, transparent, and tightly correlated to actual ground conditions.
Parametric precision
We enable the creation of next-generation parametric products. whether it is renewable energy yield, agricultural frost damage, or construction delays.
Our API allows you to define the exact latitude and longitude of the insured portfolio. We then deliver high-frequency variables—such as wind gusts, cumulative precipitation, or hail potential—calculated explicitly for those coordinates. This enables automated claims triggering based on physical reality, not regional approximations.
We enable the creation of next-generation parametric products. whether it is renewable energy yield, agricultural frost damage, or construction delays.
Our API allows you to define the exact latitude and longitude of the insured portfolio. We then deliver high-frequency variables—such as wind gusts, cumulative precipitation, or hail potential—calculated explicitly for those coordinates. This enables automated claims triggering based on physical reality, not regional approximations.
Risk modeling and post-event analysis
When a storm hits, understanding the "where" and "how much" is critical for claims processing. Global models often blur the intensity of convective storms or flood events.
Our high-resolution hindcasts reconstruct historical events to help actuaries price risk more accurately. Post-event, we provide detailed footprints of phenomena like hail swaths or flash flood zones. This data supports rapid claims triage, helping insurers distinguish between legitimate weather damage and fraud.
When a storm hits, understanding the "where" and "how much" is critical for claims processing. Global models often blur the intensity of convective storms or flood events.
Our high-resolution hindcasts reconstruct historical events to help actuaries price risk more accurately. Post-event, we provide detailed footprints of phenomena like hail swaths or flash flood zones. This data supports rapid claims triage, helping insurers distinguish between legitimate weather damage and fraud.
A workflow built for actuaries
We fit into your analytical workflow. Use our Hindcast capabilities to ingest terabytes of historical high-resolution data for model training and pricing calibration.
Once a policy is live, our Forecast system monitors the insured domains. You can automate the retrieval of weather files via API to track exposure in real-time or settle parametric contracts hours after an event concludes.
We fit into your analytical workflow. Use our Hindcast capabilities to ingest terabytes of historical high-resolution data for model training and pricing calibration.
Once a policy is live, our Forecast system monitors the insured domains. You can automate the retrieval of weather files via API to track exposure in real-time or settle parametric contracts hours after an event concludes.
