Reinsurance News

Tensorflight partners with Airbus to boost property assessment capability

15th July 2022 - Author: Daniel Jackson -

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Tensorflight, the AI imaging based insurtech, is partnering with Airbus Defence and Space to increase its property analysis and assessment capabilities.

Tensorflight uses three sources of imagery – satellite, aerial and ground level – to automate the process of property inspections and to help insurance companies evaluate commercial properties as part of the underwriting process.

Jakub Dryjas, Acting CEO of Tensorflight, said: “Pléiades Neo will considerably enhance our monitoring capability and operational efficiency. Our mission is to make high quality data available to the insurance industry to enable informed, timely and accurate decisions.”

“Integrating Pléiades Neo into our existing solutions will enable us to provide an unprecedented level of intelligence to our customers on a much broader scale and far more cost effectively.”

Pléiades Neo, Airbus’ latest and most advanced optical 30cm resolution constellation, will enable the insurtech to improve its offering to the global property insurance industry.

In addition to having access to the highest commercial resolution imagery available on the market, Tensorflight will also benefit from data with the best geolocation accuracy.

Pléiades Neo’s satellite imagery will be used to help Tensorflight gather building-related information and detect changes to properties. This ranges from information about roof condition and asbestos detection, to damage analysis and appraisal following natural disasters, such as hurricanes.

Patryk Jaskula, Geospatial Solutions Manager at the Intelligence Business of Airbus Defence and Space, said: “For clients requiring rapid and detailed damage assessments in challenging locations, Pléiades Neo will be a game-changer. The four identical 30cm resolution satellites will deliver high-quality imagery and accurate geolocation at a high revisit frequency rate, meaning precise images can be acquired several times per day, over the same location.”