FOR UNDERWRITERS
For underwriters managing flood-exposed property books
Catastrophe models price the exposure. Mitigrate's Prevent platform identifies how to reduce the risk at each location, supporting better risk selection and a more defensible combined ratio.
01
The top 5–15% of properties in any portfolio consistently drive more than 50% of achievable loss reduction
02
Frequency cat exposure is rising, and pricing alone won't fix it
03
Prevention intelligence is the missing link between hazard data and underwriting action
Real pain & daily struggles
You can see the exposure. You just can't quantify how it can be improved through prevention measures.
Catastrophe models were built for assessing the risk of the built infrastructure, not for telling you which individual properties can be improved through prevention measures.
01
Intelligence beyond catastrophe model output.
Model output quantifies the risk profile of flood hazards on properties and built infrastructure, not which properties could benefit most from flood prevention measures to reduce modeled loss.
02
Surveys cover a fraction of the book.
Flood-exposed portfolios can run to thousands of properties. Physical surveys are too slow and too costly to close that gap at scale.
03
Historic claims are a poor proxy
Past flood events are sparse, lumpy, and property-specific. They tell you what happened, not what a given property is exposed to next.
04
Loading premiums is a blunt instrument
Loading premiums across a flood-exposed book drives away better risks and prices in the ones that should be hardened or declined.
05
No prevention story for reinsurers.
Reinsurers want evidence that the frequency cat layer is improving. Without a structured prevention programme, that story is hard to tell.
Why this problem exists
Why catastrophe models have always stopped short of reflecting the impact of prevention measures
Flood catastrophe models quantify the risk of built infrastructure, not the impact of prevention measures at the individual property level and their impact on the risk profile. They tell you the loss at various return periods, not how prevention measures can improve the risk profile. Without property-level vulnerability data and how mitigation methods can improve the vulnerability profile, underwriters are forced to either price conservatively across the board or accept risk they can't fully model. The result: a combined ratio that's harder to defend, and a book that's more exposed than it needs to be.
Property-level prevention intelligence
Property-level prevention intelligence, integrated into the underwriting decision.
Mitigrate adds property-level prevention intelligence to the underwriting workflow, enabling more precise risk selection and a structured prevention narrative for reinsurers.
01
Property-level vulnerability assessments.
Mitigrate provides location-level vulnerability assessments with actionable recommendations to improve flood resilience.
02
Multi-return period loss modelling
Leverage various return period metrics, such as 1:20 and 1:100, for return period insights to support repricing decisions and targeted risk mitigation.
03
Identify properties with highest loss reduction potential.
Taking a macro perspective, identify the highest loss drivers across the portfolio.
04
Underwriting-grade evidence of mitigation progress.
Provide underwriting-grade evidence of mitigation through Protect (Certificall).
05
A defensible prevention narrative for reinsurers.
Demonstrate an improved modeled return period frequency cat profile to reinsurers, supporting better pricing, attachment terms, and conditions.
06
Higher risk volumes assessed in less time.
Review a higher volume of risks in less time, no admin-intensive data collection or site visits required.
What success looks like
What you should be able to say at the year-end review.
The combined ratio tells part of the story. What drove it — and what changed — is the part worth telling.
A more defensible book, a stronger reinsurance position, and a combined ratio that reflects the quality of the prevention programme.
My average annual loss and other critical return period metrics (e.g. 1:20 and 1:100) fall materially.
My combined ratio improves because I'm writing better-quality risks.
I can tell reinsurers: "we avoided X in losses because of investments made and underwriting actions taken."
Retention improves because policyholders who mitigate stay insured at competitive premiums.
Mitigrate's innovative approach to providing property-level flood risk assessments represents a crucial advancement in loss prevention. The ability of Prevent to quantify effectiveness and prioritise interventions at scale makes them a valuable partner in bringing prevention to life — to make reinsurance and insurance more sustainable and accessible, where carriers who invest in prevention get rewarded for it.
Proof
>50%
Top 5–15% of properties drive >50% of achievable loss reduction in any municipality
1:20 – 1:100
Loss modelled at 1:20, 1:50, 1:100 before and after mitigation
Remote assessment
Property-level vulnerability assessed at scale — no site visit required
5 markets
Used by insurers across Norway, the UK, Denmark, France, and Germany
Trusted by
Other roles
Underwriters aren’t alone in the carrier. Mitigrate fits the rest of the team.
01
Risk engineers
Direct survey capacity to the properties with the highest loss reduction potential
Read their page →
02
Claims professionals
Turn the post-event window into a prevention opportunity
Read their page →
03
Data analytics
Connect portfolio models to property-level prevention intelligence
Read their page →
Explore Mitigrate for underwriters