INNOVATION LAB
CatastropheNerve
Climate Catastrophe Intelligence
Research Phase
Global TAM: $8BClimate / Catastrophe Risk
The Problem
- Climate-driven losses hit $380B in 2023, with the gap between insured and uninsured losses widening every year
- Insurers and reinsurers struggle to price flood, typhoon, and wildfire risk at micro-geographic resolution, leading to adverse selection and capital inadequacy
- Active catastrophe events are monitored with 24-48 hour lag times, while loss estimates require weeks of manual field assessment
- Reinsurance programs are structured using historical loss data that no longer reflects accelerating climate patterns, mispricing tail risk by 30-50%
How CatastropheNerve Works
Micro-Geographic Risk Modeling
Predicts expected losses at 100m x 100m resolution by combining terrain, building inventory, climate projections, and historical loss data for floods, typhoons, and wildfires.
Real-Time Catastrophe Tracking
Monitors active events using satellite imagery, IoT sensors, and social media signals, updating loss estimates hourly during unfolding catastrophes.
Reinsurance Optimization
Optimizes reinsurance program structure by simulating thousands of catastrophe scenarios against different treaty configurations to minimize cost of capital.
Key Metrics
$8B
Global TAM
$80-250M/yr
Annual Value
Research Phase
Status
40-80
Target Customers
Target Industries
Reinsurers
P&C Insurers
Governments
Climate Funds
Catastrophe Bond Investors
Interested in CatastropheNerve?
Contact our innovation team to explore climate catastrophe intelligence.