Keep ahead of machine failure, wherever in the world

Travelling to machines for inspection and intervention is not only time consuming and inefficient, it also introduces unwanted risks and costs, especially when the result is “no fault found”.

The purpose-built AI that powers Senseye PdM ensures that your machines are running correctly and efficiently. It’s constantly watching your machines for issues now and in the future whilst providing all the analysis you need to make maintenance decisions from afar for thousands of machines, with confidence.

Monitor thousands of assets anytime, anywhere

Manually monitoring thousands of assets in person is time consuming and requires a large amount of labour resources. As a cloud-based platform, Senseye PdM reduces this burden by empowering your teams to monitor the health of all your machines from anywhere in the world – by simply logging in via any web browser on a laptop, desktop, phone or tablet.

 

Minimize unnecessary travel

Travelling to site to monitor and inspect machines uses up time that can be better spent elsewhere. With your teams monitoring assets remotely and automatically with Senseye PdM, required travel can be significantly reduced, increasing productivity and allowing your team to focus on more critical tasks.

Reduce your environmental impact

Monitoring machines on-site forces your large workforce to commute, increasing your organization’s carbon emissions. Because Senseye can be accessed via any web browser, inspections can take place anytime, anywhere, freeing up your team to complete more critical tasks and encourages them to adopt a more proactive approach to maintenance.

Did you know?

23%
of direct carbon emissions is due to the manufacturing industry in the US
21%
or 880m tons of carbon dioxide emissions in Europe are due to industrial processes and industrial energy use
20%
of UK manufacturers have already taken steps towards reaching the net zero target
challenges-of-sustainability-in-manufacturing-download
Learn more about the many ways that real-time data can support business outcomes, leveraging AI-powered industrial analytics to drive reductions in key sustainability targets. Download our free report ‘The Challenges of Sustainability in Manufacturing and the Role of Industry 4.0’.
Download now

Learn more about predictive maintenance

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Trend Detection Podcast - Special Edition - Discussion with Arrow Electronics - Part Two

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Trend Detection Podcast - Special Edition - Discussion with Arrow Electronics - Part One
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Trend Detection Podcast - Special Edition - Discussion with Arrow Electronics - Part One

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Trend Detection Live! - The truth about predictive maintenance - with Nat Ford
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Trend Detection Live! - The truth about predictive maintenance - with Nat Ford

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