Supported Operating System(s):Mac OS, Web browser (OS agnostic), Windows 8, Windows 10
About Senseye PdM
Senseye PdM is a cloud-based Predictive Maintenance solution focused on delivering advanced predictive maintenance insights for industrial operations, as well as achieving true Industry 4.0 best practices. Designed to be used on the shop-floor, Senseye PdM helps keep machinery running smoothly by making predictive maintenance simple and cost-effective. Maintenance teams can halve unplanned downtime and increase maintenance efficiencies, saving money and time by using this 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. It relies on similar methods as modern banking systems (TLS 1.2 - AES 256) to achieve high data ...
1 Reviews of Senseye PdM
5.00 / 5 stars
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Andy from Uptime Consultant Ltd
Company Size: 2-10 employees
Industry: Mechanical or Industrial Engineering
Time Used: Less than 2 years
Value for money
Intuitive Senseye Software Scales Your Predictive Maintenance
I was aware of Senseye as a software application to scale prediction in industry and came across users when I was training front line engineers at Nissan UK, Senseye was new to them and like most they were not open to change. That soon turned around when we started seeing real results coming in as the Senseye software gained more data insights that they could see resulting in avoiding unplanned events. I've found it very easy to navigate and as a former predictive practitioner could see the enormous benefits that scaling PdM brings; this was something we could only dream of just ten years ago!
The intuitive dashboard is excellent for front line users to gain insights quickly and direct their attention to the important few assets thereby freeing up their limited resources. The feedback loop via the maintainers dashboard is great to alert the support team at Senseye of the type of anomalies found, this information then leverages the power of their machine learning algorithms to get from Predictive to Prognostic.
Most of my experience is around the front end where the engineers and maintainers interact with the dashboard. The latest iteration has improved over time to fit the end users needs and become more intuitive. All of my concerns of a couple of years ago have now been improved due to the excellent support team at Senseye. It's great that they have engineers with predictive technology backgrounds that understand the challenges that users face daily in an industrial environment.