Industrial 

Observability

Industrial Observability is the ability to effectively monitor and understand processes and systems in industrial settings.

It involves recording real-time data from machinery, sensors, and other devices to analyze performance, identify problems, and make informed decisions to improve efficiency and productivity in the industry.

ZentinelMDS observability solutions provide manufacturers with easy-to-use real-time and historical information on the key performance indicators of their machines.

Industrial observability facilitates:

Optimize Performance

Analyzing the collected data helps identify ways to improve the efficiency and performance of machines.

Adjusting parameters and processes based on actual data allows for more efficient operation and saving resources.

Decisions Based on Facts

The data collected provides objective information to make informed decisions.

Whether it's scheduling maintenance, investing in upgrades, or determining the right time to replace a machine, solid data is crucial.

Predictive Maintenance

Analyzing operating data can identify patterns and trends that may indicate potential problems.

This allows maintenance actions to be carried out before serious failures occur, avoiding costly downtime.

Failure Analysis


When failures occur, the recorded data helps you understand the underlying causes and take steps to prevent similar problems in the future.

Our Mission

Help manufacturers improve their operations by providing them with actionable data on the performance of their machines.

Analyzing machine performance is essential to improving any manufacturing operation.

You can only improve what you can measure.

The Problem

Most machines operating in factories today are not digitally connected to information systems.

Obtaining information about the actual performance of each machine is difficult, time-consuming and expensive.

Our Solutions

ZentinelMDS observability solutions provide manufacturers with easy-to-use real-time and historical information on their machines' key performance indicators.