Energy Transparency

Real-Time Energy Monitoring for Industrial Energy Systems

Bring meter, building management system, SCADA, PLC, historian, and operational data into one structured view and see in real time how assets, utilities, and energy flows interact across your facility.

Detect abnormal consumption and asset behavior faster

Understand electricity, cooling, heating, compressed air, and water, in one operational view

Give every team one trusted, live operational view

For operations managers, energy managers, and technical facility teams responsible for reliable, efficient, and explainable energy-system performance.

Trusted by leading data centers, manufacturers, and energy innovators.

Fragmented Visibility

Energy data exists, but operational context is missing

Most facilities already collect energy and operating data. The problem is that the data is often spread across meters, BMS, SCADA, historians, dashboards, and spreadsheets. That makes it difficult to understand how systems behave together while they are running.

When visibility is delayed, inefficient operating modes, abnormal runtime, or unstable system behavior can continue unnoticed. The result is not only higher energy use. It is slower root-cause analysis, weaker operational transparency, more manual work, and less confidence in daily energy management.

Energy and operating data are fragmented across technical systems.
Teams see total consumption, but not the system behavior behind it.
Asset issues stay hidden when energy data and operating context are disconnected.
Manual monitoring absorbs expert time without improving decision speed.
Troubleshooting takes longer without one trusted live view.
Live Transparency

Turn disconnected energy data into one operational view

etaONE® connects live data from your existing systems and structures it around how your facility actually operates: sites, systems, utilities, assets, and energy flows. Instead of showing isolated meter values, it creates a shared operational view.

Connect live system data

Bring together data from meters, sensors, BMS, SCADA, PLCs, historians, DCIM, EMS, and other connected systems.

Your team sees current system behavior instead of waiting for delayed reports, manual exports, or invoice reviews.

Map signals to assets and energy flows

Organize data into asset types, system relationships, utility paths, and operational scopes. A temperature, power value, runtime, or valve position becomes easier to interpret when users can see which equipment and process it belongs to.

Surface deviations in context

Highlight unusual consumption patterns, inconsistent signals, missing data, or persistent deviations from expected operation.

Teams can investigate deviations before they become recurring cost, quality, comfort, or reliability issues.

Create the foundation for operational intelligence

Structured monitoring creates the trusted operational data required for benchmarking, reporting, predictive analysis, and AI-driven optimization. The same operational foundation also supports ISO 50001, ESG reporting, benchmarking, and continuous improvement initiatives.

Build views for different roles

Combine trends, KPI cards, system diagrams, status views, and comparisons in dashboards for operators, engineers, energy managers, and portfolio teams. Each role sees the level of detail required for its decisions while working from the same structured data foundation.

Simple Process

How it works

etalytics follows a structured three-step deployment model.

Platform integration
We connect to existing infrastructure such as SCADA, BMS, PLCs, historians, submeters, utility interfaces, weather data, and relevant tariff or market signals. The standard approach is to use existing data, sensors, meters, and control infrastructure first instead of adding new hardware.
Digital twin setup
We structure data by system, asset, and energy flow, then model the relevant physical and operational relationships. This creates transparency, identifies inefficiencies, validates optimization potential, and can provide virtual measurements such as estimated volume flows when direct measurements are not available.
AI control deployment
Based on the validated system understanding, etalytics deploy optimization logic in open-loop recommendation mode or closed-loop adaptive control. Control actions operate within defined boundaries and include transparency, manual override options, and fallback strategies for mission-critical operations.
Operational Impact

What improves when teams see system behavior clearly

Detect abnormal behavior earlier

To reduce unnecessary energy use and operational risk.

Investigate with operational context

Reduce troubleshooting time with complete operational context.

Reduce manual monitoring effort

Replace repeated exports, spreadsheet checks, and disconnected dashboards with one structured view of current system behavior.

Give teams one shared foundation

Operations, energy, facility, and sustainability teams work from the same data foundation instead of comparing separate reports and interpretations.

Improve energy-data coverage

See which systems, utilities, and assets are monitored reliably and where missing data limits transparency.

Build a foundation for deeper analysis

Prepare your infrastructure for predictive analytics and autonomous optimization.

Dashboard mockup
Where It Applies

Operational visibility where energy systems are business-critical

Data centers

Optimize cooling plants, free cooling, hydraulic distribution, airflow-related dependencies, and supply temperatures while protecting mission-critical uptime and stability.

Pharmaceuticals and clean environments

Improve HVAC and utility efficiency while maintaining stable environmental conditions, compliance requirements, and operational boundaries.

Manufacturing and automotive

Reduce energy waste in process cooling, ventilation, heating, and site-level energy systems with variable production schedules and operating modes.

Chemicals and industrial production

Coordinate cooling, heating, ventilation, thermal utilities, and electrical infrastructure under fluctuating production loads and changing energy prices.

Large commercial and high-load buildings

Improve performance in complex HVAC environments where demand, occupancy, weather, and operating schedules change continuously.

Start Here

See what your systems are doing now

Energy management starts with understanding how systems actually behave. A feasibility study identifies where real-time operational transparency can deliver the greatest value using your existing infrastructure.

Trusted by operators across data centers and industry

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FAQ

Questions? We’ve got you covered.

What is real-time energy monitoring?

Real-time energy monitoring means collecting and structuring live or near-real-time energy and operating data so teams can see how energy flows through systems, assets, and facilities. The actual update interval depends on the connected source systems, data architecture, and use case. Useful industrial monitoring should connect consumption with operating states, system context, and asset hierarchy.

How is this different from a BMS dashboard?

A BMS is designed to operate building systems. etaONE® adds an Operational Intelligence layer that connects energy flows, asset behavior, and operating context across the entire facility. Rather than replacing your BMS, it helps operators, energy managers, and facility teams understand how systems interact and where performance can be improved.

Is this only a dashboard?

No. Dashboards are simply one way to visualize information. The real value is the operational data layer behind them. etaONE® connects existing data sources, maps signals to systems and assets, and creates the contextual foundation for reporting, benchmarking, anomaly detection, forecasting, and optimization.

What data do we need?

Typical inputs include meter readings, equipment states, temperatures, pressures, flows, runtimes, setpoints, control signals, and contextual information such as schedules or operating modes. The required data depends on which systems, utilities, and assets should be monitored.

Do we need additional meters or sensors?

Not necessarily. Many first scopes can use data already available in meters, automation systems, historians, or utility interfaces. Additional hardware is useful when a significant load cannot be attributed or when a required operating variable is missing or unreliable.

Does monitoring automatically control the system?

No. Monitoring creates transparency. Recommendations, optimization, or closed-loop control can be added later if the use case, data quality, and operating constraints support it.

Does energy monitoring reduce consumption?

Monitoring identifies where energy is being lost and where technical teams should investigate. Real energy savings come from the operational improvements, maintenance actions, or optimization measures that those insights enable.