We offer a completely free, full capacity trial of our service for your transport company for two weeks. See how face recognition, time accounting, sobriety tests, and data monitoring works.
We know how valuable your time is, so we will take care of everything. We will explain how it works from A to Z and will be there to answer all your questions 24/7 via phone or e-mail throughout the trial period. All you have to do is to discover how the features of our system can be adapted to increase your company’s efficiency.
Notifications for responsible persons in case a driver leaves without carrying out the test.
Devices in the vehicles allow performing tests regularly. All data can be accessed on one system.
Provision of coordinates in case an intoxicated driver is on the road.
Suspension from work and zero per mil act formation with assistance by the system.
“Therefore, testing driver sobriety at Vilnius public transport is crucial.
Since implementing worksober.com in 2016, the process has become much easier. With the smart system, we have completely automatized the methods of testing driver sobriety and data processing, thus making them much faster and more efficient cost-wise, while also eliminating the probability of human error.
Thanks to worksober.com, Vilnius public transport manages the risks of appropriate driver readiness to safely and securely carry passengers much more efficiently.”
“We have been working with “WorkSober”, UAB, for over a year. Their solutions have helped us to manage risks as well as perform employee control more efficiently.
We are thankful to our partners for flexibility in implementing solutions and continuously improving them.”
“As for any other transport company, it is highly important for us to have a quick and efficient employee testing system to ensure they are always sober.
After installing worksober.com system in 2016, the process has been much quicker and simpler. Even when we need to check over 100 drivers, everything works smoothly, and we receive all the data real-time. Face recognition improves the credibility of the data and minimizes the probability of faults.”