Forecast machine failure, scalable predictive maintenance

A scalable, automatic condition monitoring and asset health product, to help manufacturers enact Predictive Maintenance, reduce costly unplanned machine downtime and maximize OEE



Senseye is an intelligent and easy-to-use automatic condition monitoring and asset health product. It has been specifically designed for industrial companies implementing predictive maintenance programs, allowing them to easily forecast machine failure without relying on a team of expensive experts. Since it’s based in the cloud, Senseye allows you to scale your predictive maintenance seamlessly, without great expense or long lead-times.

Senseye can monitor any type of machinery, allowing you to easily access its benefits with a single solution on your phone, tablet or PC, on or away from your production floor.

Senseye helps to eliminate machine reliability problems that remain unsolved by traditional labor-intensive analytics, condition monitoring and diagnostic tools.

By revealing what’s happening now and predicting what will happen in the future, Senseye helps operations and production managers to understand when a fault is likely to occur, weeks or months in advance, automatically calculating the Remaining Useful Life (RUL) of the machine.

Results are delivered from day one and get better with time. Senseye’s world-leading algorithms constantly learn, adapting to deliver continuous value as your manufacturing environment and business evolves.


Senseye helps production and operations managers address the following questions:

  • How can I reliably perform predictive and prescriptive maintenance?
  • When will the condition of a machine become critical?
  • What is the Remaining Useful Life (RUL) of the machine?
  • How can I reduce unplanned machine downtime?
  • Will we reach the next scheduled maintenance period?
  • How can I improve my maintenance schedule?

Senseye helps eliminate cost and risk by helping maintainers to:

  • Implement an effective predictive maintenance program
  • Improve the availability of machinery, driving up OEE
  • Reduce the scope of preventative maintenance
  • Perform maintenance with reduced cost and business impact
  • Automate and scale analysis of machine health
Senseye – Uptime as a Service

Senseye enables simple predictive maintenance, reducing unplanned downtime and maximizing OEE; it’s the ultimate cloud-based asset health application.


Harness the power of Industry 4.0

Predicting the behavior of machinery is complex. Existing solutions perform basic holistic analysis and diagnostics, but none do true prognostics, enriched with machine learning and mechanical engineering knowledge as we do. Senseye is the only asset health product that can scale with the Industrial Internet of Things (IIoT) / Industry 4.0.

An intelligent out-of-the-box solution

Applying Predictive Maintenance to manufacturing requires deep technical and business domain expertise. Predictive analytics tools do not provide these ‘out-of-the-box’ and instead require a significant level of costly professional services. Senseye’s deep domain expertise means that it can provide useful machine condition information from the moment you say ‘go’.

Clear, timely reporting

Senseye is designed to be easy to use, providing you with the information you need to know, when you need to know it, in a way that is easy to understand. Senseye delivers results in simple language, without the need for scientific interpretation or further manual analysis.

Software that evolves with you

Senseye removes the need to employ expensive consultants and data scientists to understand what is happening with your machinery. The software is able to automatically adapt to changes such as different batches, work shift patterns and environmental changes so that failure modes and patterns do not need to be ‘hard-coded’. This helps to reduce any reconfiguration as your business evolves and grows.

Minimal deployment time and resource

There isn’t anything to install because Senseye is entirely cloud-based. It requires minimal deployment effort, minimal configuration and minimal tailoring.

Seamless integration with your machinery and enterprise

Senseye supports major data historian, EAM and IIoT middleware interfaces, with more being added all the time, enabling seamless, hassle-free integration with your machinery and operations.

Senseye automates your predictive maintenance, keeping you one step ahead


Heard of the Internet of Things, machine learning, Industry 4.0 and condition monitoring? Don’t worry if you haven’t. Senseye uses these things and more to automatically predict machine failure, allowing you to maintain your equipment ahead of failure and reduce downtime.

The Industrial Internet of Things (IIoT) represents the idea that all machines will be able to communicate and share data. It’s similar to ‘Machine to Machine’ (M2M), but also gives machines the autonomy to communicate with you, their environment and their physical world.

The IIoT provides an opportunity to automate cost effectively and at scale, making your factory smarter and freeing up your time to concentrate on what really matters.

Senseye combines the principles of condition monitoring and the science of prognostics with proprietary machine learning and advanced asset health analytics to predict potential failures and recommend a best course of action.

Senseye is hardware-agnostic, interfacing with your factory historian and IIoT middleware platforms. By leveraging your existing investments whilst adapting and growing to support your predictive maintenance program, Senseye keeps a constant watch on your machinery to identify condition monitoring issues and calculate Remaining Useful Life (RUL).

Senseye – Minimize unplanned downtime



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