Trusted by Fortune 500 industrial companies worldwide, Senseye PdM is the only leading cloud-based Predictive Maintenance solution to achieve true Industry 4.0 best practices. Maintenance teams can halve unplanned downtime and increase maintenance efficiencies, saving money and time by using this unique technology powered by proprietary machine-learning algorithms and machine learning to automatically forecast machine failure and remaining useful life, achieving a typical ROI of less than 3 months.

Driven by Industry 4.0 / the Industrial Internet of Things (IIoT), industrial operations are increasingly autonomous. Factories contain numerous sensors that provide real-time data on the status of production and machinery to optimize operations. Welcome to the fourth Industrial Revolution.

Senseye PdM is your operations tool for reducing unplanned machine downtime and increasing Overall Equipment Effectiveness (OEE).

Unplanned machine downtime can cost manufacturers anywhere from $10,000 to over $3.5m per hour in lost production.


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the need for manual inspections and spares inventory

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abnormalities and understand machine Remaining Useful Life

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a successful predictive maintenance program

No need for expert consultants or expensive customization.

Want to book a free demo?

Then get in touch with us to experience the future of predictive maintenance for yourself


Proven expertise & pedigree

The founders of Senseye honed their condition monitoring expertise in the Aerospace and Defense industries, using that learning to lead the growth of Senseye PdM to over 15,000 machines globally, ingesting more than 1 million data points per minute, across hundreds of different machine-types, all automatically. Senseye PdM helps Fortune 500 organizations across a wide variety of industries to save tens of millions of dollars in unplanned downtime and maintenance efficiency every week.

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Cost Effective

Senseye PdM is sold as Software as a Service (SaaS), with a scalable pricing model and a Return On Investment (ROI) of typically less than 3 months.

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Senseye PdM for the maintenance professional, at Enterprise Scale

Distilling its expertise into proprietary IP, Senseye PdM uses the latest developments in Machine-Learning to achieve Predictive Maintenance best practices; leveraging the cloud to provide an enterprise-scale yet easy to use Operational Technology (OT) tool which automates the analysis of detection, diagnostics and uniquely, prognostics (Remaining Useful Life). This gives you and your team on the shop floor accurate and relevant attention indexes to improve maintenance efficiency across tens to thousands of assets, without requiring in-house data science expertise.

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Specialists not required

Senseye PdM is a Operational Technology (OT), designed to automate the analysis of detection, diagnostics and prognostics to give accurate and useful Attention Index insights for the team on the shop floor.

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Senseye PdM integrates seamlessly with your existing infrastructure investments, using data captured by your factory historian or IoT middleware to understand the future health of your machinery. The process is entirely automated, so there is no need for extensive condition monitoring or knowledge to get it up and running. By collecting key data such as abnormal vibrations, current or pressure and temperature fluctuations, the system generates machine behaviour models automatically, which can then be used in your on-going predictive maintenance efforts.

Condition Indicators

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Senseye PdM uses Condition Indicators collected from your machinery and stored in your factory historian or IoT middleware platform. The condition indicators used can be from vibration, temperature, current, acoustic, pressure and other sensor systems, either captured by the machine PLC or retrofitted.

Other Data Sources

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Current (and if available) past data is utilized by the system and combined with asset maintenance information to automatically build prognostics models, allowing you to monitor the Remaining Useful Life of your machinery. Senseye PdM uses the same levels of encryption as modern banks and needs only one-way communication.

Senseye PdM Automation

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There’s no need to have a technical background in condition monitoring; Senseye PdM is completely automated and can integrate with your existing maintenance management systems. This means that you’re able to focus your maintenance efforts on the areas that need the most attention.

Machine Health Calculation

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Using condition monitoring detection and diagnostics techniques as well as prognostics models, Senseye PdM calculates the health and Remaining Useful Life of your machinery. This calculation is based on a series of algorithms, which are constantly in operation to watch over your assets.

Insights and Alerts

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Insights and alerts are generated and delivered to relevant organisation members, with information about matching failure modes and likely Remaining Useful Life. With this information, Predictive Maintenance can be effectively performed.


Get downtime down, using Senseye PdM to power your predictive maintenance programme today.

Get in contact to share your requirements and discover how much Senseye PdM could improve your operations.


Senseye runs a regular Predictive Maintenance webinar, Q&A and live demo, on the last Thursday of every month. Register to be sent information on joining the upcoming session.