AI for Insurance Catastrophe Exposure Roll-Up &…

AI for Insurance Catastrophe Exposure Roll-Up & Accumulation Control

AI accelerates exposure roll-up, hotspot detection, and accumulation control to guide underwriting, portfolio steering, and reinsurance.

Accumulation blind spots raise tail risk. AI cleans/geo-codes exposures, rolls them up across hierarchies, detects hotspots vs cat models, and suggests underwriting levers and reinsurance moves.

Exceedance vs underwriting guidelines and zonal caps.

Scenario shocks and “what-if” on new business.

Portfolio & Reinsurance

live demo · related simulation● LIVE

Zonal caps/guidelines; historical losses and reinsurance terms.

Policy/admin systems; broker bordereaux.

Geo-coding and hazard enrichment pipelines.

Frequently asked questions

What are the CAT manager dashboards used for in terms of accumulations and treaties?

CAT manager dashboards for accumulations and treaties.

Are there APIs available to access hazard scores, Probable Maximum Loss (PML), Value at Risk (TVaR), and capital caps?

APIs for hazard scores, PML/TVaR, and caps.

What are the recommended practices for ingest policies and bordereaux, including standardization and geo-coding, as well as hazard tagging?

The system supports standardizing ingest policies and bordereaux through geo-coding and requires detailed hazard tagging to ensure accurate risk assessment.

How should hotspot detection be run in relation to capital caps and surface referrals to underwriting?

Hotspot detection is designed to be used against capital caps, and the system automatically generates surface referrals to the underwriting team for further investigation of identified risks.

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation