Questions about Smart Asset Management? Germ Jan is happy to help.
We combine fault history, work orders and sensor data. This allows you to recognize patterns and plan maintenance before failures occur. With the right engineer and materials. Fewer repeat visits, more uptime.
We measure energy, temperatures and environmental conditions in, for example, data centers, technical rooms and industrial environments. Analyses reveal inefficiencies such as unnecessary cooling or poor airflow. This allows you to reduce consumption and extend service life.
We map the quality and available capacity of underground networks. By combining OTDR measurements with network data, for example, you can see where attenuation is increasing, where quality is declining and where timely intervention or expansion is needed.
Work orders and fault reports show where problems are accumulating. This allows you to tackle the cause rather than the symptom.
For distributed energy assets, we bundle all measuring points into a single overview. You can immediately see which assets deviate and where maintenance or replacement is needed.
We combine 3D model data with live sensor data into a single digital twin. You can see not only what assets look like, but also how they behave. This makes analysis, scenario calculations and decision-making easier.
Sensors, customer systems, tickets, maintenance and external sources come together. No fragmentation, just comparisons and trends.
We use existing data and add sensors where necessary. Your trusted tooling remains. We add an analytical layer and make insights centrally available.
Prevent breakdowns, plan maintenance more intelligently and reduce energy waste. That saves money and increases availability.
With better diagnostics, you can tackle the right problem in one go. Fewer malfunctions, fewer complaints.
We help improve the basic data. This makes predictions and insights reliable enough to act on.
Applicable to networks, data centers, energy assets, street cabinets and other infrastructure where performance and energy consumption matter.
From a traditional executive organization to an output-driven organization, with as many automated processes as possible.