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 of energy flows and asset behavior.

Detect abnormal consumption and asset behavior faster

See electricity, heating, cooling, compressed air, water, and other utilities in operating context

Reduce manual monitoring work with live operational transparency

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 earlier, before small changes become recurring cost, quality, comfort, or reliability issues.

Create a foundation for energy management

Use structured monitoring data for recurring reviews, KPI tracking, reporting, benchmarking, and future optimization use cases.

Daily operational transparency also strengthens ISO 50001, ESG, and continuous-improvement work.

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

Bring changes to the attention of the responsible team sooner.

Investigate with operational context

Reduce the time required to find, align, and interpret the signals behind a deviation.

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

Use structured monitoring data for KPI tracking, benchmarking, reporting, predictive analysis, and future optimization use cases.

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 managementimproves when teams can see the behavior behind the numbers. Start with afeasibility study and identify where real-time energy transparency can createthe strongest first value.

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 usually focuses on building control and local operating views. etaONE® adds an energy-transparency layer that connects energy flows, asset behavior, operational context, and performance data across systems. It is designed to support energy, operations, and facility teams, not only control-room visibility.

Is this only a dashboard?

No. Dashboards are one interface, but the value is the structured operational data layer behind them. etaONE® connects available data sources, maps signals to systems and assets, and creates a foundation for reporting, benchmarking, anomaly detection, forecasting, and optimization use cases.

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 energy monitoring reduce consumption?

Monitoring can reveal where consumption changes and where technical teams should investigate. It does not change equipment operation or guarantee savings. Energy reduction requires a validated corrective measure, operational decision, maintenance action, control change, or optimization project.