The Cytora Risk Engine unlocks risk targeting, selection, and pricing advantage for commercial insurers.
Powered by proprietary machine learning algorithms, the Cytora Risk Engine identifies patterns of good and bad risks, enabling insurers to improve loss ratios, reduce the expense ratio and grow premium profitably while delivering more accurate prices to customers.
The Risk Engine is trained on population-scale loss data, covering the vast majority of losses experienced by the market.
EXAMPLE: the Cytora Risk Engine has visibility of more than 95% of all fires in commercial properties since 2009 in Great Britain. This training data comprises approximately 4.5 million properties and tens of thousands of loss events spread over more than 8 years.
Cytora ingests data from thousands of sources including government, open data, news media, social media, and commercial/licensed data sets. External data is structured, matched and modelled alongside population-scale claims data to provide an accurate assessment of every insurable risk. By fusing this data with accurate population-scale loss information, the Cytora Risk Engine is able to consistently identify good and bad risks that are mispriced by conventional underwriting methods.