Through the partnership, Senseye customers will now be able to more easily capture and share their shop-floor and machine performance data, driving better predictive maintenance insights.
InVMA’s AssetMinder and ThingWorx customers will also benefit from Senseye’s machine-learning algorithms to automatically forecast machine failure and remaining useful life. InVMA will also resell Senseye's predictive maintenance software suite, Senseye PdM, alongside its range of IIoT infrastructure products for real-time connected asset management and remote condition monitoring.
Simon Kampa, CEO of Senseye, comments: “We are delighted to be working with InVMA. We are providing industrial organisations with a straightforward way to adopt the infrastructure and information required to improve productivity, reduce operational risks, and drive manufacturing and maintenance efficiencies through Industry 4.0 best practices.”
Pat Nash, MD at InVMA, adds: “This partnership is great news for manufacturers and other organisations seeking to transform their operations and maintenance practices. By bringing together Senseye’s market-leading predictive maintenance capabilities with our experience and expertise delivering IIoT platforms and solutions, we can help make it much quicker and easier for customers to adopt these solutions and maximise the benefits of digital transformation.”