The failure of any equipment can lead to significant costs for businesses and, in certain industries, may result in production shutdowns that impact your ability to serve clients. Predictive maintenance techniques are designed to assess the condition of in-service equipment and estimate when maintenance should be performed. This approach offers greater cost savings compared to routine or time-based preventative maintenance, as tasks are carried out only when necessary.
Our Edge Computing and IoT AI-driven technology utilizes real-time and historical energy consumption data to predict the future health of equipment, allowing us to anticipate problems well in advance. This capability enables our clients to optimize maintenance schedules and enhance reliability.
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