This agent monitors industrial equipment using IoT sensors and historical data to anticipate failures. It identifies the weak signals that indicate a failure and proposes an optimal intervention schedule. It works thanks to predictive models trained on machine data. Users are maintenance managers, engineers and operators. The benefits: reduction of production stoppages, optimization of maintenance costs and extension of the life of equipment.