ROSE Predictive Maintenance is a cloud platform for predictive maintenance that helps companies process IoT data in real-time.
It features predictive Artificial Intelligence and Machine Learning models to predict anomalies, support business decisions and reduce downtimes.
Analyses, processes and operates large amounts of data.
Predictive diagnostic and prognostic models for each use case.
90% less data to analyse in five seconds
Modular component architecture.
Supports supervised and unsupervised models.
Sends notifications and commands in five seconds.
API to connect with external systems e.g., management, SAP.
Simple and intuitive design optimized for any device.
With the advent of Industry 4.0, manufacturing companies are adopting predictive maintenance as a new paradigm for managing their production assets.
The new model is based on the automation and digitisation of facilities to enable early detection of disruptions. This new archetype contrasts with the old one, the so-called Run-to-Failure, which only involved manual labour and repair work after the breakage event.
The arrival of new innovative technologies such as the Internet of Things (IoT) and Artificial Intelligence (AI) and increased investment in connected technologies has enabled predictive maintenance in recent years.
Get in touch with our experts and discover how our solutions can help you expand your business:
Artificial Intelligence and Machine Learning are key to interpreting Big Data and extracting crucial information for strategic decisions.
Rose is a cloud software application that allows you to do all this.
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