IoT – Internet of Things.
New technology
for SMEs
In terms of IoT, new technologies hold unprecedented growth potential for medium-sized companies. The constant collection, management and analysis of data is used in a targeted manner. Errors and anomalies can be detected early on by artificial intelligence (AI), e.g. in the form of machine learning. Maintenance recommendations based on these methods are more precise and effective (“Predictive Maintenance”).
Value your Data
With our IoT Toolkit you can bring your machines into the cloud cost-effectively and secure.
Machine-related data is not subject to any ownership rights, neither manufacturers nor operators can control which data is sent to the cloud. And this data is of great value! For example, when it comes to dimensioning wearing parts or analyzing user behavior.
With our solution you are the master of your data and control which data is moved to which data lakes. A lot of data is too detailed for the operator. So thin out your data stream and only provide relevant data.
MindSphere Cloud Integration
Since 60% of the world’s automation control is based on Siemens components, we know that with Siemens we have a competent partner at our side who provides a uniform cloud platform for industrial applications via MindSphere. Nevertheless, we remain flexible and also provide our services outside MindSphere or integrate them into already existing infrastructures, as desired.
Track your Truck
Our Fleet Monitoring Solution is a powerful, intelligent, digital solution for the commercial vehicle industry.
The usability of a fleet management system must be adaptable to the customer’s needs, whereby the most important thing is to: increase the profitability of the fleet by minimizing the risk of breakdowns, as well as to increase the safety of all vehicles that drive with our system. The fleet operator has an overview of the condition of the entire fleet.
By using telemetry data, tire data, vehicle data and artificial intelligence, our software enables real-time monitoring and leads to an improvement in efficiency and costs. This data also supports predictive maintenance, which helps to prevent breakdowns and reduce fuel consumption, tire wear and CO2 emissions.
Any questions?
Jana Schaum
