The market of predictive maintenance is a multibillion market projected to grow by 30% per year for the next 6 years. Worldwide there are >60 million machine tools and industrial robots where their largest problem is degradation which results in unexpected downtimes, reduced productivity and reduced product quality. These failures could be eliminated, by collecting the right data with sufficient condition monitoring. However, existing condition monitoring solutions cannot achieve this due to important limitations such as long integration time, neglecting the specifics of different machines, need for highly trained workforce, or significant cyber security risks.
IPercept Technology solves these problems for industrial customers that need predictive maintenance of their machines. Based on years of KTH research, they have developed patented technology comprising new type of sensors and software based on proprietary algorithms. IPercept Technolog empowers the users and builders of machines to increase the efficiency of their machines by 10-25%.