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Senseye
Senseye is the leading cloud-based software for Predictive Maintenance. It helps manufacturers avoid downtime and save money by automatically forecasting machine failure without the need for expert manual analysis. Its intelligent machine-learning algorithms allow it to 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.
Supplier
mnubo (Aspen)
mnubo provides Big Data and Analytics to the Internet-of-Things (IoT) and Machine-to-Machine (M2M) space, enabling ‘connected things’ to become ‘smart objects’. mnubo helps extract true value from sensor data by delivering advanced analytics, strategic insights, and enabling richer applications. They offer a SaaS-based solution to connected object manufacturers to connect, collect, and analyze their object data. Their customers range among Wearables, home, automotive, industrial, and healthcare verticals. mnubo was founded in 2012 by a team of industry experts in the areas of next-generation mobile networks, highly scalable and flexible databases, and subscriber data management.