SpatialKat offers unparalleled computation speeds for detailed loss calculations so you can quote, quantify, and optimize portfolios efficiently.
SpatialKat enables users to simulate both current and future conditions with ease and perform sensitivity analyses to understand the potential impacts of climate change on risk.
Developed in collaboration with leading global carriers, our financial model is trusted by the world's largest multinational insurance institutions to calculate and articulate losses.
Hazard and vulnerability data are open and customizable. Users have efficiently incorporated their own view of risk including implementation of entirely new/proprietary model data.
With 25 processors: 1.15 million location exposure, three peril analysis: 12 minutes 4,000 location account, three peril analysis: 55 seconds.
Event sets consist of 50,000 years of simulation and incorporate climate variability.
SpatialKat incorporates fully modifiable vulnerability curves and associated assumptions.
Developed in collaboration with leading global carriers, our financial model is capable of modeling complex insurance structures.
KatRisk models are capable of quantifying the loss impacts of future climate change at the portfolio and location level.
SpatialKat’s event analysis options allow users to understand the potential impacts of critical events on their portfolios before and after the storm.
Catastrophic events are globally correlated with sea surface temperature (SST) as the main driver. We can establish this through linking teleconnections to large scale droughts and floods.
The SpatialKat financial model allows for quantification of insured losses considering complex financial structures for both primary insurance and reinsurance. Because the model utilizes a sampling approach, calculation methods are transparent, traceable, and fast. Correlation between location samples can be varied based on the spatial proximity of risks.
FMKat is a module within the SpatialKat software that allows results from any model to be analyzed with the KatRisk financial model.
By event-location-coverage losses from any model can be imported, along with financial terms, and run through the KatRisk financial model.
By-event sampled losses at site, policy, account, and portfolio levels for each financial perspective.