Features
We have curated an extensive library of hazard models, from public and private sources in a standardized framework in which you can easily select and compare results from different sources. In addition to traditional perils such as earthquake, windstorm, tornado and hail, we also cover emerging risks such as flood, wildfire and sea-level rise. Coverage varies by geography, and we are continuously adding new peril-regions via new partnerships or as new public domain data sets are released.
Our deterministic scenario modeling engine allows you to estimate impact from historical, real-time or hypothetical events in a simple but transparent framework. You can adjust modeling assumptions and even bring in your own hazard and damage models.
Since the modeling engine works seamlessly with our analytics, you don’t even know you are “running a model”. It just happens behind the scenes as you interact with the application and pull up an event to analyze against your exposure. And it happens in sub-seconds.
We have built our own financial modeling engine from the ground up, to handle complex policy terms and conditions, including sublimits and special conditions. Our data model is comprehensive and expressive, and allows you to capture contracts close to how they are written. This means you no longer need to create separate portfolios for each peril!
Our methodology is completely transparent and documented, but more importantly, we have an entire module (Program Builder) dedicated to auditing financial calculations, and even run what-if scenarios such as alternate deductible structures on the fly.
EigenPrism allows you to create and adjust damage models, including the impact of “secondary uncertainty.” This is particularly useful for non-modeled or underserved peril regions.
Clients Speak
Watch Testimonials