Zynoviq Solutions
ZYNOVIQSOLUTIONS

INNOVATION LAB

CatastropheNerve

Climate Catastrophe Intelligence

Research PhaseGlobal TAM: $8BClimate & Catastrophe Risk

The Problem

$380B in Climate-Driven Losses and Growing

Climate catastrophe losses are accelerating while risk models lag reality, leaving insurers, reinsurers, and governments dangerously exposed to tail risk.

Accelerating Climate Losses

Climate-driven losses hit $380B in 2023, with the gap between insured and uninsured losses widening every year as extreme weather events intensify.

$380B climate-driven losses in 2023, up 40% from 5-year average

Mispriced Catastrophe Risk

Insurers struggle to price flood, typhoon, and wildfire risk at micro-geographic resolution, leading to adverse selection and capital inadequacy in exposed regions.

30-50% mispricing of tail risk in climate-exposed portfolios

Lagging Event Monitoring

Active catastrophe events are monitored with 24-48 hour lag times, while loss estimates require weeks of manual field assessment after events conclude.

24-48 hour monitoring lag during active catastrophe events

Outdated Reinsurance Models

Reinsurance programs are structured using historical loss data that no longer reflects accelerating climate patterns, systematically underestimating future exposure.

Historical models underestimate future losses by 30-50%

How It Works

AI-Powered Climate Risk Intelligence

CatastropheNerve delivers micro-geographic risk modeling, real-time event tracking, and reinsurance optimization for climate-exposed organizations.

100m x 100m resolution

Micro-Geographic Risk Modeling

Predicts expected losses at ultra-high resolution by combining terrain, building inventory, climate projections, and historical loss data for floods, typhoons, and wildfires.

Hourly loss estimate updates

Real-Time Catastrophe Tracking

Monitors active events using satellite imagery, IoT sensors, and social media signals, updating loss estimates hourly during unfolding catastrophes for instant response.

15-25% cost-of-capital reduction

Reinsurance Optimization

Optimizes reinsurance program structure by simulating thousands of catastrophe scenarios against different treaty configurations to minimize cost of capital.

Key Metrics

Market Opportunity

$8B
Global TAM
$80-250M/yr
Annual Value
Research
MVP Timeline
40-80
Target Customers

Interested in CatastropheNerve?

Contact our innovation team to explore climate catastrophe intelligence for your risk management operations.