Predictive maintenance uses machine learning to help determine the condition of in-service equipment in order to accurately predict when maintenance should be performed, around the production schedule. Using predictive maintenance to monitor your equipment and other assets can help determine condition and detect anomalies and possible defects to be fixed before failure occurs.

Our solution, built on the AWS platform, utilising Machine Learning algorithms and leveraging cloud-native tooling such as Amazon SageMaker and Databricks, is for Facilities Managers and Asset Owners who want to use their data to optimise the condition of in-service equipment in order to accurately predict when maintenance should be performed.