COMPREDICT ANALYTICS

Measure more with virtual sensors

TELEMATICS
COMPANIES

COMPREDICT ANALYTICS enables failure prediction, mass estimation and objective driver classification. Maximize insights for your customers with our virtual-sensor driven fleet management add-on.

Prediction for
wear parts

We use our virtual sensor technology to predict failures of wear parts, like tires, brakes and other important components from powertrain, chassis and steering. These predictions are available for passenger cars and commercial vehicles, like busses and trucks.

Minor deviant
mass estimation

We have developed virtual sensors, which can estimate the current mass of the vehicle with less than 5% deviation.

Objective driver
classification

With our algorithms we can provide an objective driver classification, which takes into account the influence of the driving style, the route, the current loading conditions and the vehicle type. This allows to separate these influences and take actions to minimize operational and maintenance costs. 

telematics

TELEMATICS COMPANIES

COMPREDICT ANALYTICS enables failure prediction, mass estimation and objective driver classification. Maximize insights for your customers with our virtual-sensor driven fleet management add-on. Click here to learn how to connect to our service without additional hardware costs.

cropped Gruppe 370 COMPREDICT

Prediction for
wear parts

We use our virtual sensor technology to predict failures of wear parts, like tires, brakes and other important components from powertrain, chassis and steering. These predictions are available for passenger cars and commercial vehicles, like busses and trucks. Click here to learn how to connect to our service and enable reliable sustainable mobility.

mass

Minor deviant
mass estimation

We have developed virtual sensors, which can estimate the current mass of the vehicle with less than 5% deviation. Click here to learn how to connect to our service to provide mass estimation to your customers.

Gruppe 381 COMPREDICT

Objective 
driver classification

With our algorithms we can provide an objective driver classification, which takes into account the influence of the driving style, the route, the current loading conditions and the vehicle type. This allows to separate these influences and take actions to minimize operational and maintenance costs. Click here to learn how to connect to our service to provide these insights to your customers.

COMPREDICT ANALYTICS

for your business.

OEM &
SUPPLIERS

COMPREDICT ANALYTICS maximizes insights from testing and series production vehicles and enables automotive manufacturers and suppliers to optimize their whole production chain. 

Cost-optimized
durability tests

With our virtual sensors it is possible to reliably measure important values for a long time in a big number of test vehicles at minimal costs.

Fail-safe
series production

Our virtual sensors monitor the loads acting on the most important components of a vehicle. With our AI-based damage models we can exactly predict the remaining lifetime of the components and take action before failures occur.

Make sustainable
mobility reliable

By analyzing the data from a whole fleet of vehicles equipped with virtual sensors, we provide insights on how to reduce material usage, CO2 emissions and costs. Improve component design without compromising on component lifetime or reliability.

AUTOMOTIVE
OEM & SUPPLIERS

COMPREDICT ANALYTICS maximizes insights from testing and series production vehicles and enables automotive manufacturers and suppliers to optimize their whole production chain. Click here to learn how to connect to our service and enable reliable sustainable mobility.

Gruppe 391 COMPREDICT

Minimize sensor costs in durability tests

With our virtual sensors it is possible to reliably measure important values for a long time in a big number of test vehicles at minimal costs. Click here to learn how to connect to our service and maximize insights from durability testing.

durability

Minimize failures for series production 

Our virtual sensors monitor the loads acting on the most important components of a vehicle. With our AI-based damage models we can exactly predict the remaining lifetime of the components and take action before failures occur. We continuously learn from the whole vehicle fleet and our software provides suggestions on how to change the operational strategy to maximize component lifetime. Click here to learn how to connect to our service and provide the most reliable vehicles for your customers.


lifetime

Make sustainable
mobility reliable

By analyzing the data from a whole fleet of vehicles equipped with virtual sensors, we provide automotive manufacturers and suppliers with insights on how to improve component design to reduce material usage, CO2 emissions and costs without compromising on component lifetime or reliability. Click here to learn how to connect to our service and enable reliable sustainable mobility.

Gruppe 374 COMPREDICT

Would you like to learn even more about our Product?

Visit us at Medium.com for detailed publications.

About Us

COMPREDICT was founded 2016 by Dr.-Ing. Rafael Fietzek and  Dr.-Ing. Stéphane Foulard in Darmstadt/Germany. We currently are a team of 22 employees from 8 different countries.

group-picture

Our focus lies on software-based load monitoring, failure probability calculation and life time prediction. We achieve this through AI and machine learning for mechanical, mechatronic, electrical and electronic components.
In the field of R&D, we supervise bachelor/master theses and also offer internships.