Southampton, UK – Senseye, the leading scalable predictive maintenance software, has announced new 2018 enhancements for its award-winning machine health analysis product.
As technologists at heart, we are always looking ahead, developing solutions and updates to improve customer experience and create opportunities for businesses to transform their operations – and indeed their internal culture to one that can take full advantage of predictive maintenance. 2017 saw steady progress in industry awareness of condition monitoring (CM) and prognostics and whilst we are seeing some external challenges encroaching in the form of the new GDPR regulations which will no doubt throw up some added complications early in the year. Overall, we look to 2018 with great enthusiasm for Industry 4.0.
Southampton, UK, 11 December 2017 – Senseye Limited, the leader in predictive maintenance software, today announced it has raised £3.5 million at the close of a Series A funding round led by MMC Ventures, a venture capital fund investing in early stage, high growth companies. The round was also supported by existing investors Breed Reply, IQ Capital and Momenta Partners.
Senseye, the scalable predictive maintenance leader, today announced that it has joined the PTC ThingWorx Marketplace™, partnering with PTC to offer predictive maintenance to users of PTC’s leading ThingWorx® industrial innovation platform without the pain of expensive consultants or extensive customization.
Industry 4.0 offers huge opportunities for production efficiency and visibility through predictive maintenance and other connected technologies, but it also brings a new operational risk – security. Cyber-attacks are increasing and the manufacturing sector is being hit with data theft, ransoms for access to locked data, machinery downtime, site safety, and build quality threats.
It’s a fact that no-matter how advanced the machine, there will come a time when it unexpectedly fails and your factory experiences the financial and reputational losses caused by unplanned machine downtime. The impact of this can vary dramatically; from direct costs of over £1.5M per hour in automotive manufacturing to thousands per hour in the Fast-Moving Consumer Goods (FMCG) industry, not to mention damage to reputation. Even machines cared for under the best preventative maintenance regime will experience unplanned failure at some point in their lifetime.
Senseye, the scalable predictive maintenance leader, is excited to announce that it will be giving live demonstrations of its ground-breaking automated condition monitoring and prognostics software, featuring Remaining Useful Life calculations at the upcoming ‘Connected Manufacturing 2017’ conference in Birmingham over the 1st and 2nd of November.
How do you know when you’re ready to take advantage of software like Senseye to automate the analysis of condition monitoring data from your machinery?
Change is uncomfortable, implementing new technology, and the associated process change and cultural changes bring significant challenges as well as benefits, even if all goes smoothly. Whilst manually analysing Condition Monitoring is useful, moving to fully automate analysis allows factory and organisation-level scalability. It’s important to be sure that the correct systems and assets are in place to support this new way of operating.
“You can’t fix something that isn’t broken” used to be the philosophy of traditional Reactive Maintenance, many years ago. Help was only called for once a machine had completely failed.
Condition monitoring (CM) and prognostics solutions can be costly, it’s easy to spend than the cost of the machinery – but how much should you be spending and how do you know that the solution represents good value? When considering investing in a predictive maintenance solution, it’s important to understand the potential savings for your business before looking at how much to budget. If the numbers don’t add up, then you may need to rethink your CM ambitions.