KatRisk is a catastrophe modeling company focused on flood and wind risk. The founders of KatRisk have decades of experience building catastrophe models used worldwide by the insurance industry. We utilize high performance GPU computing hardware to develop state of the art high resolution yet cost effective views of risk. We spend our time building and testing solutions in collaboration with our clients and provide an unparalleled degree of transparency into the underlying data, methodologies and choices made in the process of creating our products.
We have global data and software offerings providing rapid location risk quantification to support underwriting decisions. In the US, we are supporting multiple clients entering the private flood insurance market. SoloKat, our our location loss analytical software provides the capability to assess location level hazard and quantify losses for any size schedule of locations. Additionally, our loss analytics can be embedded in underwriting processes via KatRiskAPI, our API service.
Multiple-Return Period Hazard Data
- Global Flood
- US Storm Surge
- Tropical Cyclone Wind
Location Loss Analytics Software
- Global Location Hazard Lookup and Loss Analytics
- Open data and code allow for customization
- Access via deployed software or API
SpatialKat is KatRisk's event based analytical software capable of analyzing multi-peril portfolio risk. Data and analytical methods are completely open to clients licensing our solutions allowing for customization of model components including hazard and vulnerability data. Unique analytical methods have been implemented allowing for rapid analysis of millions of locations. Our initial models include a fully correlated tropical cyclone wind, storm surge and inland flood event set for the United States as well as a Canadian inland flood model.
Portfolio Analytical Software
- Our unique model approaches result in fast analytical runtime for 50,000 year event catalogs
- Flexible implementation allows for user selection of analytical parameters including sampling and methods for combining wind and flood losses within a single event
- A flexible financial model for modeling of insurance policies
- Open data allows for customization of model input or the implementation of other model components such as vulnerability data