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THE FUTURE OF DIGITAL MACHINE MAINTENANCE

We help you optimize your maintenance process

THIS IS WHY PREDICTIVE MAINTENANCE IS NEEDED

Efficiency pressure

Companies are under constant pressure to operate efficiently. By using predictive maintenance, potential problems can be identified before they become an issue. This helps minimize downtime, reduce repair costs and optimize maintenance schedules.
 

Sustainability

For companies concerned about sustainability, predictive maintenance is essential. By identifying potential equipment failures before they occur, companies can conserve resources, extend the life of their machines and reduce their environmental footprint.

Skills shortage

The shortage of skilled labour is one of the biggest challenges facing companies. By using predictive maintenance software, companies can reduce their dependence on labour as well as relieve existing maintenance staff.
 

Supply chain bottlenecks

Supply chain bottlenecks can be managed through the use of predictive maintenance by proactively minimising downtime and improving the reliability of asset performance. This enables companies to meet customer demand even in difficult times.

AI-OMATICS VALUE PROPOSITION

ai-omatics maintenance assistant analyses live sensor data from machines and points out anomalies in this data. With the help of a calculated health score between O and 100%, which is displayed on a user-friendly web dashboard, ai-omatic provides its customers with a precise insight into the condition of their machines, which they can now monitor easily and conveniently in the browser. 

With the help of the maintenance assistant, maintenance staff can reduce the problem of unplanned machine downtimes and make maintenance decisions based on the condition of the machine.

 

Predictive maintenance has never been so easy!

THE ADVANTAGES OF THE MAINTENANCE ASSISTANT

UNCOMPLICATED MACHINE MONITORING

The maintenance assistant enables unattended, fully automatic monitoring of machines and systems

INFORMATIVE

HEALTH SCORE

A health score provides an insight into the health status of the machines and individual components.

RECORDINGS AND ALERTS

Abnormal machine behaviour is detected at an early stage and warning messages enable timely intervention

RAPID ANALYSIS OF THE ROOT CAUSE

In the event of a deterioration of the health score, an immersion into the interior of the machine enables a quick identification of the root cause.

OPTIMIZED

MAINTENANCE

By improving the maintenance process, maintenance costs are lowered and machine downtime is reduced

IMPROVED 

EFFICIENCY

Efficiency is increased through improved maintenance and optimized use of resources.

OUR CUSTOMERS AND PARTNERS

"ai-omatic's solution provides a fast and reliable path to the zero failure target in predictive maintenance compared to traditional methods!"

Christian Bittel, Digitalization Software Architect Digital Industries IoT, Siemens

CONTACT US!

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