Our Predictive Maintenance solution is an application that, using advanced machine learning and statistical modeling techniques, identifies anomalies. From a maintenance perspective, this makes implementing corrective measures more efficient, guaranteeing high production and product standards.

Our system is trained on data regarding the normal progress of the process, allowing it to easily identify in real time, through anomaly detection, drifts and anomalous values.

Our predictive maintenance application provides manufacturers with deeper insights into the factors affecting their process through accurate, real-time data analysis from sensors installed in the field that identify correlations, trends and specific sources of problems, facilitating improvements in targeted and high-performance production results.


  • Pre-trained model, simple to train and validate with few examples
  • Templates are managed through a single interface
  • Developed for industrial environments
  • Customizable dashboards
  • Configurable alerts
  • Solution available on cloud or edge
  • System uses the most well-known brands of smart sensors on the market
  • Industry 5.0


  • Increased process performance – OEE
  • Increased plant availability
  • Better maintenance activity management
  • Optimized stock and spare parts
  • Increased life cycle for assets
  • Increased product quality
  • Reduced costs and process inefficiencies