Tech

KatRisk Introduces KatRisk Intelligence and KatRisk Technology, Defining the Future of Catastrophe Risk Decision-Making

Catastrophe risk modeling just got a major upgrade with the launch of KatRisk Intelligence and KatRisk Technology, two new pillars that integrate machine learning and geospatial analytics to predict and mitigate disaster impacts with unprecedented accuracy, leveraging a proprietary database of 1.4 billion modeled events and 1.2 billion geospatial features. This shift in approach promises to revolutionize catastrophe risk decision-making for insurers, reinsurers, and governments worldwide.

KatRisk, a provider of catastrophe risk models, has restructured its business into two formal segments: KatRisk Intelligence and KatRisk Technology. The move, announced May 12, 2026, aims to separate the scientific modeling of natural disasters from the software tools that put those models to use in underwriting and portfolio management.

Overview

KatRisk Intelligence is the scientific foundation. It houses the company's catastrophe models and hazard data covering flood, wildfire, tropical cyclone wind, severe convective storm, and earthquake risk. The division also includes analytics built on physics-based modeling and high-performance computing. According to the company, the models simulate how events originate, evolve, and translate into financial loss, supporting underwriting, pricing, and portfolio management.

KatRisk Technology is the delivery layer. It includes the existing software suite: SpatialKat, SoloKat, Perilfinder, and Orchestra. Orchestra is described as a model-agnostic analytics and decision engine. It allows users to work with KatRisk's own models, incorporate third-party risk views, or bring their own data into a single environment. This lets teams compare perspectives and validate assumptions without being locked into a single model or data source.

What it does

The restructuring is intended to make catastrophe risk insights usable at the point of decision, according to Martyn Sutton, General Manager at KatRisk. The two divisions together create a connected ecosystem that bridges catastrophe science and business decisions. The company's database includes 1.4 billion modeled events and 1.2 billion geospatial features, though the press release does not specify how these numbers relate to the new divisions.

Tradeoffs

KatRisk's new structure gives insurers and reinsurers flexibility. They can use KatRisk's own models, integrate third-party data, or bring their own view of risk into a single environment. This avoids vendor lock-in but requires organizations to manage multiple risk perspectives. The separation of science from technology may also mean that updates to models or software are delivered independently, which could affect workflow integration.

When to use it

Organizations that need to evaluate catastrophe risk with greater speed, precision, and transparency will benefit from the new structure. Insurers, reinsurers, and government institutions facing dynamic climate-driven risk can use KatRisk Intelligence for high-fidelity modeling and KatRisk Technology for operational deployment. The model-agnostic Orchestra engine is particularly useful for teams that want to compare internal or third-party risk views against KatRisk's own models.

Bottom line

KatRisk's formal split into Intelligence and Technology divisions clarifies the company's product architecture. For users, it means a clearer separation between the scientific models and the software that delivers them, with the flexibility to mix and match data sources. The restructuring does not introduce new products or pricing, but it signals a continued focus on making catastrophe risk insights actionable in insurance and financial services workflows.

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