We use the fundamental laws of physics combined with data science to measure road risk.
Safety
We measure safe driving with universal approach that considers vehicle dynamics, vehicle characteristics and contextual driving conditions.
Our platform identifies driving events that reveal a policyholder's driving style. It detects hard brakings and harsh accelerations with several levels of severity. It also assesses road adherence that is the adherence coefficient between the tire and the road.
Phone distraction
Using a smartphone while driving significantly increases road risk, and accident rate.
Our distraction score precisely measures the driver's use of their smartphone. The DriveKit SDK identifies phone manipulations, phone calls, and the audio system used for a call.
Eco-driving
We measure driving efficiency in order to help drivers reduce their fuel consumption without increasing the trip duration.
Our approach compares the measured driving speed with an optimal speed profile. The eco-driving score represents the difference between the energy consumed and the minimum energy achievable for each trip.
The movement of a vehicle is governed by the laws of fundamental physics.
For analyzing driving behavior, we take into account crucial variables that describe the vehicle's motion, employing physical models in the process.
We have designed clear and accurate driving scores and driving indicators in order to educate drivers and to promote a more sustainable driving style.
Driver profile
Driver coaching
Crash detection
All-in-one mobility solution
Identify driving habits
Our platform provides three reliable driving scores for each trip: safety score, distraction score and eco-driving score.
It also performs statistical processing and maintains a history of driving scores to identify with high accuracy the policyholder's driving profile.
All these driving indicators are critical for connected insurance and road safety initiatives.
Launch digital road safety initiatives
To reduce road risk, drivers should stay engaged in the program as long as possible. That's why we have developed connected services such as driving challenges. They motivate the community to continue their efforts and improve their driving behavior.
For at-risk drivers, our in-app coaching based on machine learning help them improve with direct and clear feedback.
Protect drivers with a life-saving feature
In addition to our driver behavior analysis, the DriveKit SDK offers crash detection. The service relies on the phone's sensors to identify collisions.
When a driver is involved in a car accident, an alert is sent to the insurer's platform. The insurer can take the right decision based on the crash data and send emergency services or roadside assistance depending on the severity of the crash.
Measure all forms of mobility
We analyse the signals from the smartphone's sensors to determine whether the driver is in a car or using a secondary mode of transport such as a bicycle, bikes, bus or train.
Understanding the means of mobility enables to better understand the habits of policyholders and tailor your offers to their needs.
In addition, identifying the mode of transport (bike, train, bus) makes it possible to assess the reductions in CO2 emissions generated, which helps to encourage users to adopt more sustainable modes of travel.
Reliable
Our platform analyses the signals recorded by the smartphone's sensors. It corrects them if necessary in order to build reliable and simple indicators that can be correlated with road risk. It processes data from several thousand smartphone models spread over the 5 continents.
Explainable
Our driving scores are based on scientific and physical models. We use fundamental relationships that explain the link between driving style observed by speed measurement and road risk or fuel consumption. This is a transparent approach that simplifies the exploitation of our data.
Contextualized
We consider contextual trip conditions, including weather and road type, as parameters that the driver cannot control but are utilized to contextualize their scores. Our models also factor in vehicle characteristics.
Rich
Our behaviour analysis is the most advanced solution on the market. The DriveKit SDK captures all types of driving events: harsh brakings, hard speedings, fuel consumption and distracted driving. Our driving analysis is performed based on more than 200 driving indicators collected for each trip.
Simple
We provide insurers documented application programming interfaces (APIs) to access data from their drivers or driver groups. It is possible to access raw data, driving indicators as well as statistical and historical aggregations of driving data.
Flexible
DriveQuant's driving scores and contextual indicators are extensive and specific. We help insurance companies incorporate these scores into their underwriting models to launch connected car insuranceprograms.
DriveQuant is a French insurtech company active in over 15 countries worldwide, and has launched over 60 telematics programs. We are experts in smartphone telematics. We analyze data from phone sensors to measure driving behavior in order to make roads safer and reduce the environmental footprint of mobility.
