Discover the powerful deep learning technology behind the MDgo Tag.

Take a Test Drive
One Physical Tag.

Dozens of Virtual Sensors.

Once installed on the vehicle’s windshield, the MDgo Tag covers the vehicle and passengers in a mesh of virtual sensors.

When an accident occurs, the MDgo Tag detects it and instantly sends crash data to the cloud, where proprietary deep learning networks generate precise accident analytics, real-time vehicle damage reports, and injury predictions.

What Happens in the

MDgo Cloud

Precise Crash Detection

Oops! Your policyholder had an accident. Good thing the MDgo Tag picks up on even the smallest incident and fender bender.

From the moment an incident occurs, the MDgo cloud begins analyzing accident data to eliminate false indications and deliver rapidly accurate FNOL.

High-Resolution Injury Predictions

MDgo provides the vehicle’s driver and passengers with unique coverage for critical areas of bodily injury following an accident. Occupant's virtual sensors are processed by advanced biomechanical models that analyze the physics of the crash and assess the severity of injuries.

The result?

MDgo delivers an injury report for 6 bodily regions and can assign 6 levels of injury severity, based on trauma reporting scales. These insights can be sent to first responders at the scene.

Vehicle Damage Predictions

Virtual sensors are distributed intelligently across a grid of over 140 key measurement cells, automatically adapting to the vehicle size and type.

These cells are carefully calibrated to assess and predict the extent of damages based on the area of impact and degree of severity.



The Algorithms That

Drive MDgo Tech

Our deep learning algorithms have been meticulously engineered to provide auto insurers with unparalleled predictive power.
We draw our strong data from countless crash test databases and thousands of internal simulations to account for even the most exceptional of crash scenarios.

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