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reduce their unplanned machine downtime by up to 50% with our automated predictive maintenance software

Senseye, the scalable predictive maintenance leader is inviting delegates interested in learning about how Industry 4.0 technology can reduce unplanned machine downtime to visit for a live demonstration at stand K15a at the upcoming Sensors & Instrumentation show to be held at the Birmingham NEC over the 26th and 27th of September.

Alexander Hill, Co-founder of Senseye will be on-hand to demonstrate the cloud-based product and show why and how it adds value over traditional condition monitoring diagnostics and predictive analytics approaches.

Alex mentions “Sensors & Instrumentation is a key industry event and we’re excited to be able to show the delegates how they can reduce their unplanned machine downtime by up to 50% with our automated predictive maintenance software”.

Senseye will be exhibiting the software with live demonstrations on stand K15a throughout the event as well as offering a whiskey prize draw every day for delegates.

With backing from high profile sponsors, the UK’s leading industrial publications and co-located alongside Interplas, PPMA Show and TCT Show – Sensors & Instrumentation is set to be the must-attend industrial event of the year.

To find out more and to stop downtime getting you down, visit


About Senseye Ltd. The scalable Predictive Maintenance product is a cloud-based tool to help manufacturers avoid downtime and save money by automatically forecasting machine failure without the need for expert manual analysis. It’s a revolution in predictive maintenance that can be used on any machine from any manufacturer, taking information from existing Industrial IoT sensors and platforms to automatically diagnose failures and provide the remaining useful life of machinery.

For further information, please contact Alexander Hill on +44 (0)7818 068 861

This press release was distributed by ResponseSource Press Release Wire on behalf of Senseye in the following categories: Business & Finance, Manufacturing, Engineering & Energy, Computing & Telecoms, for more information visit