Industrial leaders partner with us

IconPro AI Solutions are trusted by

Solve the Challenges

Unplanned downtime, insufficient effectiveness or expensive machine maintenance reduce productivity.

Unlock the Potential

Empower your production to be more productive and reliable with lower downtime and maintenance.
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Track Conditions, Events, Operations

See at a glance if your machines are working as intended and get notifications otherwise.

Evaluate Availability, Performance, Quality

Monitor the Overall Equipment Effectiveness of groups of or individual machines easily.

Predict & Minimize Downtime & Maintenance

Get to know about downtime risks or necessary service activities in time to plan most cost-efficiently.


From data to information

Control Data
Sensor Data
Program Data
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Monitor Overall Equipment Effectiveness.


Handle and supervise many machines.


Predict & request maintenance & service.


Monitor & improve performance & quality.

Predictive Maintenance Solutions

IconPro APOLLO for better machine effectiveness.
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Monitor & Track OEE

Get summarized or detailed evaluations for controlling the machines’ effectiveness.

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Predict & Request Services

Predict & request maintenance or service operations for minimal costs & downtime.

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Evaluate & Improve
Performance & Quality

Track & analyze availability, performance and quality to eliminate issues decreasing productivity.

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Handle & Supervise
Many Machines

Know the current operation and routine progress states
of all machines, assure proper operation conditions.


Trusted by

Mechanical – Wire Eroding
Mechanical – Wire Eroding

Project Subtitle
Data-based evaluation of the wire electrical discharge machining process

Companies & Partners
WBA Aachener Werkzeugbau Akademie GmbH, Mak…

Energy – Minimize Consumption
Energy – Minimize Consumption

Project Subtitle
Automation of network edge infrastructure & applications with artificial intelligence

Companies & Partners
Opel Automobile GmbH, Frau…

Manufacturing – Visual Inspection
Manufacturing – Visual Inspection

Project Subtitle
System for adaptive phototonic surface testing with adaptive image evaluation in combination with a cleaning system.

Companies and Partners

Minimize maintenance or calibration costs, reduce service + downtime!

Enter your Parameters
IconPro APOLLO saves dozens of thousands of euros per year by predicting and dynamizing maintenance and service efforts or reducing downtime of assets to a minimum.

Asset Value

1 k€

  • 5
  • 1000

Number of Assets


  • 1
  • 1000
  • Annual Maintenance, Downtime, Administration Costs

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    1 k€

  • Realize Annual Savings of

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    0 k€

How to start?

We will guide you through 6 systematic steps in less than 6 months. Get a reliable proof-of-concept in the most cost-efficient way!
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  • Understand required machine information

  • Complete standardized machine interfaces with us

  • Get a running and validated pilot deployment

  • Know the return on investment

  • Get roll-out roadmap after proof of concept


Our Offering

Make it as easy, reliable and cost-efficient for you as possible.
We cover the full range of services.
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– AI in Manufacturing

Learn more about AI in Manufacturing and its use-cases.

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Our team will be happy to help you. Get in touch!




The production in a company can come to a complete standstill due to machine failures.

Of course, it is necessary to shut down machines regularly for maintenance or calibration to ensure accuracy, safety and efficiency.

However, when downtime occurs unplanned, it causes disruption of workflows, ineffectiveness, high costs, and wasted time. 

Modern industrial AI software like IconPro APOLLO can resolve those issues to maximize productivity.

Condition monitoring & predictive maintenance solutions optimize machine availability by notifying in real-time about alarms and by predicting unwanted downtime of machines before they occur. 



Predictive maintenance software applies machine learning (ML) and industrial AI to data coming from the condition monitoring of machines or robots.

Industrial AI software like IconPro APOLLO anticipates when a component might fail so that preventive maintenance can be scheduled before the downtime occurs unplanned.

The goal is to schedule maintenance at an optimal and cost-efficient time.

In this way, you maximize machine availability, but without putting it at risk, thus reaching a significantly increased uptime and overall equipment effectiveness of machines or robots. 



Condition monitoring refers to monitoring specified machine and environmental conditions (e.g. vibration, temperature, noise, etc.) that are relevant to the availability, performance or downtime of machines.

Changes or anomalies shall be identified that could signal an upcoming failure of a component.

Condition monitoring is an important aspect of predictive maintenance.

The implementation of it provides data for predictive analytics or industrial AI to be applied and preventive measures to be taken to prevent further failures and thus unplanned downtime.



Goals: Maximize operator efficiency, minimize false measurements 

  • Problem: It is difficult for operators to keep track of the measurement progress or results and errors of several machines at potentially different locations. 
  • Solution: Monitoring of measurement progress, operating, environmental and error states at one glance for many machines from anywhere with IconPro APOLLO. Access all measurement results. 
  • Added value: Less operator effort per machine, higher machine utilization and less operator time spent on error conditions or walk-arounds. Increased overall plant effectiveness. 



The key benefit of predictive maintenance is the ability to anticipate and plan necessary maintenance based on the digitized asset’s current and historical state.

However, it is anything but simple to determine the precise status of complex machines or robots. 

Predictive Maintenance can utilize condition monitoring and alert technicians to upcoming machine downtime if three key elements are fulfilled: 

  • Condition monitoring via applied sensors or interfaces to the control system gives a sufficient digital shadow of the machine’s state over time 
  • Predictive models that can process the collected data to automatically find anomalies, changepoints or anticipate failures (industrial AI) 
  • IIoT (Industrial Internet of Things) technology facilitates connectivity between machines, software solutions, and server infrastructure 



Many necessary sensors and components for condition monitoring can be installed or retrofitted.

Electrical currents, vibrations, temperature, pressure, oil, noise levels, levels of corrosion, and more can all be measured via applying modern and small external sensors,

by utilizing existing modern standard interfaces to the control system or adapting to older analogue interfaces to the control system.

Most often the information is there already and just waiting to be extracted by experts like those from IconPro.



Choosing Predictive Maintenance for your production bears a lot of advantages. Some of them include: 

  • Only necessary maintenance, calibrations, or part replacements will be paid for with allocated funds (no guesswork), since predictive maintenance evaluates and recommends these actions in time before significant malfunctions or downtime occurs while maximizing the machine uptime.
  • Predictive maintenance keeps your machine park operating like a clockwork with fewer or no manufacturing disruptions caused by unexpected downtimes and reactive maintenance or repair jobs .
  • Planning reliability regarding production orders is significantly improved.
  • Increased equipment life as a result of optimal maintenance and repairs – predictive maintenance helps to stop actual equipment damage, thus you benefit longer from its performance.
  • Increased profitability: Although predictive maintenance may initially be an investment, it ultimately saves a lot of money by preserving your most valuable assets and getting the most out of them.