Senseye & Iconsys partnershipMember News
Senseye and Iconsys have joined forces to launch a full turnkey scalable predictive maintenance service for industry. The partnership provides everything manufacturers need to introduce scalable predictive maintenance
Senseye provider of predictive maintenance analytics, and Iconsys, the manufacturing systems integrator, have today announced a new alliance to help industrial companies boost operational efficiency and profitability using Industry 4.0 technologies.
The companies have joined forces to launch a comprehensive digital maintenance service that combines Iconsys’ expertise in industrial data collection and integrated manufacturing systems with Senseye’s groundbreaking prognostics and predictive maintenance software.
The new service provides everything manufacturers need to put in place automated conditioning monitoring and predictive maintenance systems across their production environments, including the collection, storing and automatic analysis of data. The service can include the retrofitting of older machinery with smart sensors if required.
Senseye’s software monitors changes in the condition of industrial machinery, identifies emerging problems and predicts precisely when individual components and machines are likely to fail. Large scale manufacturers have halved levels of unplanned downtime and achieved maintenance cost reductions of up to 40 percent.
Simon Kampa, CEO of Senseye, comments: “We are delighted to be working with Iconsys, which is rapidly becoming one of the digital leaders in the industries it serves. In partnership we can provide everything manufacturers need to implement large scale predictive maintenance programs from scratch and further accelerating the returns that are achievable from these vital investments.”
Nick Darrall, Managing Director at Iconsys, comments: “Access to real-time machine data enables a reduction in unplanned downtime, faster and safer shutdowns and ultimately a reduction in overall costs. Senseye is the clear market leader when it comes to automated predictive maintenance, and the insight and innovation it delivers is proven to deliver fantastic improvements for our customers.”