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Cytora and Tensorflight partner to streamline property risk workflows using AI

Partnership will embed a new type of AI and ML powered data directly into the Cytora platform enabling insurers to have a superior view of the property exposure risks driving GWP growth and reducing loss ratio.

London, UK; 3rd November 2022: Cytora, the digital risk processing platform, and Tensorflight, a leading property data and insights provider, have partnered to provide the commercial insurance industry with a more streamlined and informed understanding of property risk.

Tensorflight’s proprietary AI and computer vision technologies eliminate inaccuracies within property infrastructure data and significantly decrease the cost of, and time spent on in-person property inspections. Its solutions are used by several of the largest commercial property insurers.

Through this partnership, insurers will now have the ability to automatically embed Tensorflight data and analytics insights within Cytora’s industry-leading risk digitisation platform thus enabling improved data utilisation, better insights and faster decision-making.

The partnership builds on a growing ecosystem of data and insight providers pre-integrated into the Cytora platform enabling an integrated end-to-end customer journey.  

Juan de Castro, COO of Cytora, said: “Tensorflight is a great source for property data. Insurers will benefit tremendously from having Tensorflight’s intelligence embedded within our digital risk flows to evaluate property exposure. This partnership builds on our commitment to equip carriers with the data they need to evaluate any risk.”

Commenting on the partnership, Jakub Dryas, CEO of Tensorflight said: “Commercial insurance underwriting continues to suffer from inaccuracies and inefficiencies largely due to the quality of the information underwriting decisions are based on. Integrating our AI and computer vision solutions into the Cytora platform will further enhance the accuracy of the property infrastructure data. We’re delighted to partner with Cytora and help their customers more accurately assess and identify property risk.”