8 solutions of operational intelligence for Energy systems.
We deploy sensors and predictive models to monitor MRI machines and chillers in radiology facilities. The system detects thermal deviations, vibrations, and anomalous flows, enabling action before failures, reducing maintenance costs, and ensuring critical medical equipment availability.
We reveal real-time levels of tanks, fuel deposits, and other supplies, generating alerts for low levels or atypical consumption. This optimizes purchasing, prevents operational disruptions, and reduces losses from excess or shortage.
We provide detailed measurement and real-time analysis of energy consumption and power quality in industrial processes. This information enables loss detection, improved energy efficiency, and extended equipment lifespan.
We install multi-sensor nodes in technical rooms, shelters, or underground chambers to monitor electricity, gas or water leaks, and environmental conditions. The data improves operational safety, regulatory compliance, and service continuity.
Our platform enables continuous monitoring and control of telecom base stations, covering infrastructure, electrical systems, environmental conditions, and access. This enables proactive risk management, reduced downtime, and optimized maintenance costs.
We integrate video systems and advanced analytics to digitize traditional analog indicators and digital panels, unifying readings in a single view. The system detects trends and anomalies, sends real-time alerts, and visualizes critical variables like pressure, flow, or temperature.
We incorporate AI and automated control in high-consumption industrial kitchens, analyzing equipment usage, thermal loads, ventilation, and water. The system optimizes schedules and operational parameters to reduce energy costs and increase operational efficiency.
Our solution correlates energy consumption and quality indicators (voltage drops, harmonics, reactive power) with operational variables like temperature, occupancy, or machinery cycles. This identifies hidden inefficiencies and predicts failures before they occur.