Senseye PdM takes machine condition and operations data from your factory historian, IoT middleware or database solutions. There is no need to add any hardware or install anything on-site.

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.

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Insights and Alerts

Collect Key Data


Accelerometers or high precision condition monitoring equipment monitor the machine vibrations

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Changes in pressure and flow can indicate a number of different failure modes in process equipment

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Modern drive units can capture torque readings that can indicate early signs of failure

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Information is collected from the PLC (no additional hardware needed) or via retrofit sensors that the customer might attach

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Collect Remaining Data

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Operational Data

Machine Specs

Historical Performance

Other Machine Data

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Senseye PdM Automated Machine Health Calculation

Automated Prognostics

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Proprietary machine agnostic algorithms characterize and learn from machine failures to provide Remaining Useful Life for any asset type, automatically and without any bespoke model development.

Dynamic Time Warping

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Senseye PdM can automatically account for time differences of various machine measurements, fitting them into a coherent single timeline.

Automated Optimization, Evaluation & Selection

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Senseye PdM has developed a proprietary framework to automate the process of selecting, optimizing and tuning complex machine learning algorithms.

Fleet Clustering

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Machines with similar behaviors are evaluated together to better understand potential abnormalities and changes.

Artificial Intelligence & Machine Learning

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Advanced machine learning algorithms, developed by Senseye from the ground up, provide effective and accurate detection, diagnostic, prognostic and health calculations for any machine type and at large scale.

Machine Ontologies

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The system understands the concept of assets and machines as collections of assets, ensuring that machine health and prognostics is correctly reported.

Do you want to see Senseye PdM in action?

Then book your free demonstration today

Want to learn more?

Then download our overview brochure