18 products

Best Catastrophe Modeling Software 2026

Compare 18 catastrophe (cat) modeling platforms used by insurers, reinsurers, brokers, ILS funds, and capital markets to quantify natural and man-made catastrophe risk. Moody's RMS, Verisk AIR (Touchstone), CoreLogic, Karen Clark & Company, and Oasis LMF lead the category. Verified reviews from catastrophe risk, exposure management, and actuarial teams.

Moody's RMS Risk Modeler
Moody's
Custom pricing
4.4
320 reviews
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Verisk AIR Touchstone
Verisk
Custom pricing
4.5
380 reviews
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CoreLogic Catastrophe Risk
CoreLogic
Custom pricing
4.2
180 reviews
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Karen Clark & Company RiskInsight
Karen Clark & Company
Custom pricing
4.4
140 reviews
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Oasis Loss Modelling Framework
Oasis LMF
Open source
4.3
60 reviews
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Aon Impact Forecasting
Aon
Custom pricing
4.3
120 reviews
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JBA Risk Management
JBA Risk Management
Custom pricing
4.4
90 reviews
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Reask
Reask
Custom pricing
4.5
40 reviews
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Guidewire Cyence
Guidewire
Custom pricing
4.2
110 reviews
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Swiss Re CatNet
Swiss Re
Subscription
4.3
180 reviews
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How to choose catastrophe modeling software

Catastrophe modeling software estimates exceedance probabilities, average annual loss, tail value-at-risk, and PML for natural and man-made perils. The market has historically been a duopoly between Moody's RMS (acquired by Moody's in 2021) and Verisk's AIR Worldwide. CoreLogic, Karen Clark & Company (KCC), and the open Oasis Loss Modelling Framework provide credible alternatives. Specialty modelers — Reask, JBA, Cyence (Guidewire) — focus on specific perils.

Tier-one insurers and reinsurers typically license two of Moody's RMS, Verisk Touchstone, and KCC to blend views of risk. Smaller insurers and MGAs run one commercial platform or rely on the open Oasis LMF. Flood-focused buyers favour JBA and JBA-Oasis integrations.

Selection criteria: peril and geography coverage, model vintage, secondary uncertainty handling, climate change scenarios, financial module accuracy, and integration to the reinsurance, underwriting, and insurance systems. See the RMS vs AIR (Verisk) comparison and the catastrophe modeling buyer guide.

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Frequently Asked Questions

How are cat models priced?
Pricing is bespoke and confidential. Indicative ranges: tier-one insurers and reinsurers typically spend $1M-$5M+ per vendor per year across all licensed peril regions. Smaller carriers and MGAs license selected peril-regions for $100K-$500K annually. Open Oasis models reduce licence costs but require modelling capability.
What does running two views of risk involve?
Most large carriers license at least RMS and AIR (Verisk) to compare exceedance probability curves, average annual loss, and PML by peril and region. Differences inform reserves, reinsurance buying, and capital allocation. Karen Clark & Company is often a third reference.
How is climate change reflected in cat models?
RMS, Verisk AIR, JBA, CoreLogic, and Reask have all published climate-conditioned event sets and scenarios (typically RCP/SSP-aligned). Adoption in production capital and pricing decisions has accelerated through 2023-2025, especially for hurricane, severe-convective-storm, and inland-flood perils.
What is the role of Oasis LMF?
Oasis LMF is an open, vendor-neutral loss-modelling framework supported by the insurance industry. It enables specialist model developers (Reask, Fathom, Impact Forecasting, JBA) to distribute models on a common platform. Adoption is growing for non-traditional perils and emerging-market regions where commercial coverage is thin.
How is AI being used in cat modelling?
AI is used for hazard footprint downscaling, exposure-data enrichment, claims-loss reconciliation, and post-event loss estimation. Generative AI is appearing in event commentary and ad-hoc analytics workflows. Production AI inside the core hazard model remains careful because of validation and regulatory expectations.
Last updated: May 2026
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How Index.Html fits the Catastrophe Modeling Software category

Index.Html is one of several options in the Catastrophe Modeling Software category on TechVendorIndex. The right way to evaluate it is in the context of your specific buyer profile rather than in isolation: who in your organisation will use it day-to-day, what scale of deployment you need, what existing systems it has to integrate with, and which capabilities are non-negotiable for your use case. Index.Html's strengths land best for buyers who match a particular profile; the related pages and comparisons surface the trade-offs against the most common alternatives so a buyer can decide quickly whether to keep it on the shortlist or rule it out.

What to evaluate during a proof-of-concept

Buyers who shortlist Index.Html typically focus their proof-of-concept on three things: depth of functionality in the specific use case that triggered the project, real-world performance and stability under representative load, and the practical experience of integrating with the rest of the existing stack. Vendor-provided demonstration environments rarely surface integration friction, identity-management edge cases, or data-volume scaling limits. A structured pilot against a representative slice of your own data is the single highest-leverage step in the evaluation.

Total cost considerations

The list price for Index.Html is only one element of the three-year total cost of ownership. Buyers also need to estimate implementation services, internal team time, integration platform fees, training and change-management costs, and any adjacent tooling required to make the product useful in the buyer's specific environment. Vendors often offer attractive year-one pricing that does not reflect the true ongoing cost; ask explicitly for a three-year quote with assumptions documented before signing.

When to revisit this decision

Each profile on TechVendorIndex is reviewed at the same cadence as the parent category. Index.Html's position in the Catastrophe Modeling Software category may shift as competing products release new capabilities, as Index.Html itself releases new versions, or as pricing models change. Buyers who selected Index.Html more than two years ago may want to re-evaluate even if the product is meeting needs today.