MDGo: Real-time trauma analysis and car damage following a car accident

MDGo: Real-time trauma analysis and car damage following a car accident

Written by Roger Peverelli and Reggy de Feniks - Founders The DIA Community on 13 Mar, 2019

Connected Vehicle

MDGo has developed a real-time accident analysis technology based on advanced AI algorithms and ML models. Relying only on existing vehicle sensors or telematics solutions, MDGo generates a real-time FNOL report describing passengers' injuries and car damages (internal and external). With MDGo's real-time insights, insurance companies can automate their claim process, reduce fraud and claim leakage, while providing faster and better service to their customers. MDGo’s solution is deployed in Israel and connected to 250k vehicles, via a local telematics company, reporting car accidents in real-time to the national EMS.

Unique in the market
There is no solution in the market that predicts the occupant’s injuries in real time. MDGo technology analyzes both the forces that were applied on the vehicle and on the different occupant's organs. Real-time delivery of this data helps insurers to embrace a pro-active approach that reduces costs and time of a claim process.  Other competitors that are aiming to provide car damage analysis are mostly based on image recognition that requires the customer to take and send pictures from the scene. MDGo solution is fully automated, applies to every type of crash, and is fully frictionless. With MDGo, the insurer can take a proactive approach with claims, engage customer earlier in the process, detect fraud, and control the predicted expenses with a very low rate of claim leakage.

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