Combines IoT, RFID, AI, and centralized supervision to provide intelligent, dynamic, and predictive management of all your circulating assets and industrial fixed assets.
Uses predictive analytics based on sensor data to anticipate failures, optimize maintenance cycles, and drastically reduce unplanned downtime.
Deploy intelligent sensor networks for real-time monitoring of critical industrial equipment and processes with proactive alerts.
43% reduction in unplanned downtime documented 35% reduction in average maintenance costs Predictive analytics anticipating failures before production impact Intelligent alerts and automatic maintenance cycle optimization
Continuous & reliable inventory eliminating lengthy manual operations Real-time location & tracking with dynamic asset mapping Complete historical traceability of movements, interventions, and states ERP/CMMS integration with automated reporting and compliance auditing
41% reduction in unanticipated equipment incidents 52% reduction in anomaly response time 43% reduction in unplanned downtime 35% reduction in maintenance costs 38% improvement in overall operational efficiency
SPECIALIZED APPLICATIONS
Continuous machine monitoring with AI analytics for early anomaly detection and optimized intervention planning
Automated fixed asset tracking with dynamic inventory, geolocation, and asset utilization optimization
Intelligent sensor deployment on industrial installations with centralized decision-making platform
Computer-aided maintenance management systems with intelligent workflows and automated reporting
Heavy Industries: Steel, cement, petrochemicals, mining Manufacturing: Production lines, automated equipment, robotic systems Critical Infrastructure: Power plants, distribution networks, technical installations Multi-Site Industrial: Industrial groups, administrations, universities, hospitals
Internet of Things (IoT): Industrial sensors, intelligent networks, connected platforms Artificial Intelligence: Predictive analytics, anomaly detection, intelligent maintenance Software Engineering: ERP/CMMS integration, web/mobile platforms, custom solutions Automation: Maintenance workflows, autonomous systems, automated reporting Embedded Systems: Intelligent electronic units, real-time data acquisition