“MMPredict” provides machine failure prediction using machine-learning technology with data collected from IoT platform “MMCloud”. Early detection of signs of failure improves facility maintenance efficiency. The status of the device is determined by analysis of correlation between various sensors data. Our engineering techniques, refined through long years of experience in embedded software development, are applied to data cleansing. Together with machine learning technology, we have developed a proprietary calculation method for highly accurate failure prediction. When signs of failure are detected, the level of contribution of each sensor is also reported to indicate the location of the failure. [Features] ● Failure prediction via machine-learning data derived from normal operations ● Highly accurate prediction ● Indication of failure location * For details, please download the catalog or contact us.