Cytora is an artificial intelligence company building a new way for commercial insurers to target, select and price risk. With the Cytora Risk Engine, insurers can grow premiums measurably and reduce loss ratios while delivering more accurate prices to customers.
Cytora was incubated in the University of Cambridge’s Judge Business School Accelerate Programme and was initially supported by Cambridge Enterprise, the University’s commercialisation arm. The Cytora team has taken natural language processing techniques and machine learning technology developed at the University of Cambridge and applied them to commercially relevant applications for the insurance industry.
The company is deploying its Risk Engine internationally across property and casualty lines with a core group of insurers. Cytora’s Risk Engine transforms the way insurers select target and price risk by applying AI to identify patters of good and bad risks over time. These insights enable insurers to achieve improved loss ratios and premium growth while delivering more accurate and fair prices to customers.
It is backed by a syndicate of investors, including insurance companies Starr and QBE, who are also early adopters of the Cytora technology.
CIC point of contact: Carol Cheung