Downtime reduction to increase your machine availability

Unplanned machine downtime is the scourge of modern industrial operations with over 80% of companies saying that it is a priority to solve. With most maintenance work being categorised as ‘crisis work’ to fix breakdowns the losses quickly add up through labour, raw materials and lost potential product sold.

Unplanned machine downtime can contribute over 20% of production costs to modern industrial production, causing damage to reputation, efficiency, the environment, and your bottom line.

50%
reduction in unplanned machine downtime

Better than just in time

It’s cheaper to fix something before it’s broken. Senseye PdM uses AI powered algorithms, developed from the ground-up to learn normal machine and maintainer behaviour to diagnose immediate and upcoming issues, allowing you to maintain before failure and avoid production stoppages, emergency work and extra shifts.

40%
reduction in maintenance costs

The correct parts, the correct place

Senseye PdM intelligently learns from machine, maintenance, and maintainer data to identify and communicate current and upcoming issues on the component level, enabling you to quickly understand where to focus your team’s valuable efforts.

55%
increase in maintenance team efficiency

No more fighting fires

Preventative maintenance schedules never account for real-world performance and failure, resulting in teams running between problems as they emerge. The clear user experience offered in Senseye PdM empowers you with the right information to plan your interventions effectively, driven by its class-leading AI that ensures you and your team are never caught unaware.

Did you know?

90%
of maintenance work is categorised as ‘crisis work’
24%
of total manufacturing cost can be attributed to unplanned downtime
300%
is the amount by which unplanned downtime is underestimated
true cost download
Learn more about the effects of unplanned downtime and what you can do to avoid it – download our free report ‘The True Cost of Downtime’
Download now

Learn more about predictive maintenance

EyeOpener podcast - Personal experiences of working in the Predictive Maintenance industry
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EyeOpener podcast - Personal experiences of working in the Predictive Maintenance industry

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The key maintenance challenges manufacturers are facing - Part One - With Andy Gailey
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The key maintenance challenges manufacturers are facing - Part One - With Andy Gailey

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Fast and reliable rollouts in the Automotive industry - A conversation between Senseye and Cybus

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