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di Giuliano Noci
3' min read
3' min read
Artificial intelligence can provide support to those involved in a car accident, with regard to the damage suffered or caused and insurance cover. This is demonstrated by an app created and patented by the Genoese hi-tech company Metakol. The new technology allows motorists to report an accident directly from their smartphone. The system works thanks to a Qr code, which must be kept on board at all times, issued by the insurance company or an intermediary. By framing the code with your mobile phone, you access a web app that allows you to take photographs of the damage to your car in a way that all images captured are unalterable and are stored in their original format. With the web app you can also take pictures of the Cai form for the friendly statement and fill in a short data set of information, necessary for reporting the claim.
The data collected in this way, and rendered unalterable by artificial intelligence, are then forwarded, in real time, to the insurance company liable for the damage, which can then arrange for an immediate expert appraisal of the damage, which can also be done remotely.
In short, the simplest claims, where there is no discussion of liability, can be settled even within hours of the event.
This was clarified by Andrea Mungo, founder and CEO of Metakol, who brought to the table his long experience in insurtech, in the field of black boxes (the entrepreneur was also CEO of Octo Telematics, specialising in that field) and Vedr (Video event data record) dashcams, which he himself patented. 'I invented,' he explains, 'the system with an on-board camera that, when a sudden braking is recorded, records the 15 seconds before and 15 seconds after the event'.
Leaving Octo Telematics in 2018, Mungo founded Metakol, a company that created an apparatus, he explains, 'that analyses, with Ai, all types of documentation and is able to establish whether the material in question, including photos, has been manipulated. Artificial intelligence, in fact, is able to read the metadata of documents and, even if these are not there, we have trained the Ai to understand if there is fraud. The goal is the validation and certification of digital documents'.