Terrain hazard assessment and liability underwriting tooling for alpine operations
CorniceRisk AI is an early-stage prototype exploring ML-driven risk scoring for ski resorts and backcountry guiding companies. The concept: ingest snowpack telemetry, terrain attributes, and historical incident data to produce structured risk assessments that insurance carriers can consume via API — without dispatching an actuary to altitude. This is a proof-of-concept, not a production underwriting system.
- Accepts snowpack telemetry inputs alongside aspect, elevation band, and slope geometry to compute per-zone hazard scores
- Ingests historical incident reports to weight risk models against real-world outcomes
- Exposes a JSON API surface designed for insurance carrier integration
- Produces risk score outputs intended to be audit-traceable and documentation-friendly
- Scoped to ski resort operations and permitted backcountry guiding contexts
None yet. The API layer is scaffolded for carrier plug-in, but no live insurance, weather, or telemetry data providers are connected at this stage.
The project is structured around a data ingestion pipeline that normalizes terrain and snowpack inputs, feeds them into a scoring model, and surfaces results through a REST API. No persistent database or production infrastructure is provisioned — this is a local prototype with illustrative model logic and stubbed data sources.
🧪 Early prototype / concept. Not production-ready.
This project is at the concept and scaffolding stage. Risk scores are not validated against actuarial standards and should not be used to price, bind, or deny any real insurance policy.
MIT