Connect every energy asset across your enterprise. Monitor consumption in real time, predict maintenance events before they happen, and optimize demand automatically.
Sub-second measurement updates across all connected meters. Visualize power flow, kWh, kVA, kVAr, THD, power factor and voltage events simultaneously.
Machine learning models trained on 19 years of electrical anomaly data detect insulation degradation, transformer thermal stress and abnormal demand patterns weeks before failure.
Pre-programmed load shedding sequences execute automatically during peak-tariff windows, reducing demand charges by 12โ28% for industrial customers.
Automated energy performance indicator (EnPI) calculation, baseline normalization and management review reports โ audit-ready documentation generated in one click.
Quantified outcomes from industrial, commercial and data center customers.
Data center in Sweden reduced PUE from 1.82 to 1.54 after deploying circuit-level submetering and automated demand response across 6 MW of IT load.
Data CenterAutomotive parts manufacturer in Poland achieved 23% kWh/unit reduction within 14 months using EMS baseline management and compressed air leak detection integration.
ManufacturingHospital campus in Canada avoided a $2.4M critical transformer failure through predictive thermal monitoring โ maintenance team replaced a failing unit during planned downtime.
HealthcareMulti-site industrial group in Germany connected three manufacturing facilities and six warehouses into a single EMS view, enabling cross-site benchmarking and procurement optimization.
Multi-SiteGridSense devices and software are protocol-agnostic โ engineered to integrate into BMS, SCADA, ERP and cloud platforms without custom development. Our open API and comprehensive driver library eliminate vendor lock-in.
Our deployment team will connect your first 50 monitoring points within 72 hours. No hardware installation required for cloud-connected meters.