Predictive Maintenance

Maximise your investments and optimise uptime with data-driven maintenance scheduling

Minimise downtime and maximise investment value

Predictive maintenance reduces associated costs across the board. Take the initiative, with intelligent data sources to enable accurate and optimal routines.

Peak performance for your operation

Analysing rich data from sources across your operation provides a multitude of benefits. Downtime is reduced through key markers of equipment behaviour.

Machine learning enables accurate reporting on component lifecycles to provide an accurate and reliable overview of the condition of your equipment. Not only does this allow you to schedule in replacement or repair at an optimal time for your operation, but it also allows for the maximisation of the value you extract from each asset before they are replaced.

Quality is improved through this same process, enabling the discovery of production faults or inefficiencies which impact your OEE. In this way, yield can also be increased as processes are optimised.

Meet challenges with predictive maintenance

Maintenance routines are vital for efficient and profitable operations. Are you ready to face the challenges?

When should maintenance be performed?

How can energy usage be reduced?

How can production bottlenecks be mitigated?

Meet disparate operational needs with predicative maintenance

By implementing a predictive maintenance platform for your operation, diverse challenges can be met and mitigated. As the system learns about each component’s digital fingerprint, your operators will be alerted to issues to the benefit of energy consumption, uptime and efficiency. Utilising your existing sensors allows the technology to be rapidly and easily installed, with a view to a strong ROI within a short time frame. Predictive maintenance allows you to get the most out of your operation, in uptime and component lifecycle.

Save money, save energy and save time with predicative maintenance

Balancing act

Are you struggling to keep the following in check?

Wholesale, logistic, business, export and people concept - Man warehouse worker checking goods at warehouse.

Holding maintenance inventory

Empty Production line in factory, with yellow safety fence, conv

Unplanned downtime

Professional team, quality control, stand maintenance, talk in t

Spiraling maintenance costs

Close up hand industrial industrial plant with a tablet in hand, Engineer looking of working at industrial machinery setup in factory.

Undue workload

Powerful machine learning

Automated data processing

Machine learning enables autonomous information processing. As the system works out which markers are relevant for desired outcomes, correlations will be found which may even be difficult for a human operator to discover. These surprising insights come from diverse data sources, and as such it requires a delicate commissioning process to prevent overload or noise resulting in false positives. Our data scientists are experts to training the machine learning system with relevant, validated data ready for processing.

Once this process has been completed by our team, the machine is ready for live data sources. As it works, it continues to learn and improve over time to deliver ongoing ROI.