Built for the full picture

AI Underwriting
Co-Pilot

CERA® AI Underwriting Co-Pilot enables you to interact in plain english with BirdsEyeView's 2bn+ climate data points and event data.

What It Delivers

AI Underwriting Co-Pilot

CERA® AI Underwriting Co-Pilot enables brokers, MGAs, and (re)insurers to query BirdsEyeView’s climate and catastrophe datasets using plain English. Underwriters can instantly access insights on historical events, peril exposure, and location-specific risk—without needing to search across multiple tools or reports.
By providing immediate, contextual intelligence at the point of underwriting, it helps teams make faster, more informed decisions. The result is greater confidence, deeper risk understanding, and a more efficient underwriting process.
What It Does

What AI Underwriting Co-Pilot
Does

Ask risk questions in plain English
Retrieve historical loss and event data
Identify relevant perils by location
Analyse seasonality of catastrophe risks
Provide instant, contextual underwriting insights
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

API or upload monthly bound bordereaux data
Track accumulations against binder terms in real time
Deliver cleaner, consistent, exposure reports to carriers

Brokers

Transparent exposure reporting builds confidence
Respond faster to carrier queries and capacity decisions
Reduce manual data processing and reconciliation

Insurers & Reinsurers

Avoid accumulations and optimise portfolio balance
Visual insights reduce time spent analysing data
Clearer view of risk aggregation across regions and perils
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