GradeSens delivers digital solutions for predictive maintenance and after-sales services specifically designed for manufacturing, energy, and logistics companies. Our offerings cater to both OEMs (Original Equipment Manufacturers) and end-users.

Our solution comprises:

1. Data Acquisition
We gather data from various structured sources using our wireless vibration and temperature sensors, wireless analog bridges, Modbus interface, or our cloud API connector.

2. Information Derived from Data
We create a Digital Twin utilizing multiple models developed through machine learning with historical data. These models are defined in collaboration with maintenance engineers and parameterized using codeless analytics. We employ them for monitoring, generating metrics that indicate the differences between actual and predicted parameters.

3. Knowledge Generated from Information 
We offer a transparent model structure that facilitates real-time anomaly detection. This systematic approach enables maintenance engineers to analyze root causes and develop mitigation plans. Over time, the insights gained can be integrated into an automated reasoning system.

GradeSens AG

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