Built for evolving catastrophe risk

Hazard Modelling

CERA® Hazard Modelling delivers probabilistic, physics-based hazard models with climate-adjusted outputs - all primary and secondary perils available globally.

What It Does

Perils

Flood (Pluvial, Fluvial, and Storm Surge)
Wildfire
Tropical Cyclone
Severe Convective Storm
Hail
Earthquake
Lightning
Climate Perils (Rain, Snow, Wind, Temperature)
What It Does

What Hazard Modelling
Delivers

Connect via API directly to your workbench or rater
Climate-adjusted hazard intensity and frequency modelling
Global primary and secondary peril coverage including tropical cyclone, flood, earthquake, wildfire, and severe convective storm
Outputs expressed as both return-period and probability %
Model up to 10,000 locations at once
Adjustable severity thresholds (ie Cat3, or Cat 5 Tropical Cyclone)
Solutions

Value by Segment

CERA® is built to increase productivity and improve underwriting performance  — helping MGAs, brokers, and insurers assess risk faster, manage exposure at scale, and make more confident decisions.

MGAs

Hazard modelling to comply with binding authorities
Improved portfolio steering across growth regions
Reduced dependency on complex traditional Cat models

Brokers

Model client portfolios prior to carrier submission
Live aggregate monitoring for your MGA’s
Simplified exposure reporting to carriers

Insurers & Reinsurers

Model submissions at quotation stage without need tosend to 3rd-party Cat providers for modelling
AI to scrub broker Excel submission location data
Deploy capital efficiently
Flexibility & Enterprise Readiness

Integrations & Inputs

Compatible inputs include:

Portfolio uploads
(csv./Excel and API ingestion)

Geocoded address and
location-level exposure data

Third-party hazard
datasets

API results to internal pricing
models and workbenches

Climate trend and
event feeds

Real-time hazard
monitoring inputs

Results

Underwriting
in minutes, not days.

The Data Behind the Fire: A Look Into Our Wildfire Model

Wildfires now result in nearly 6 million more hectares of tree cover loss per year than in 2001, an area the size of Croatia. 

Feb 19, 2026

Introducing AI Data Scrubbing: Streamlining Exposure Data for Faster Hazard Modelling

Exposure data sits at the heart of effective catastrophe and hazard modelling.

Mar 9, 2026

Bridging Research and Risk Modelling: Guest Lecture at Imperial College London

This week, we were proud to see our colleague Ricky Nathvani, Senior Geospatial Data Scientist at BirdsEyeView, return to the academic classroom as a guest lecturer at Imperial College London.

Mar 2, 2026

BirdsEyeView Secures Seven-Figure Investment to Accelerate Global Expansion

BirdsEyeView, the European Space Agency-backed insurtech specializing in natural catastrophe modelling and exposure management, has secured an undisclosed seven-figure investment to support the company’s continued international growth and ongoing product development.

Mar 12, 2026

BirdsEyeView Launches Machine Learning Australian Bushfire Model for Insurance Markets

BirdsEyeView has announced that its Machine Learning Australian Bushfire Model is now live and actively being used by Lloyd’s syndicates and Australian MGAs to support risk selection and pricing across Property and Construction portfolios.

Mar 19, 2026