Book Demo
Book Demo
Energy Transparency
Automate ISO 50001 and ESG reporting for operational data
Connect operational energy data with approved metadata, boundaries, and calculation logic. etaONE® helps teams prepare recurring energy-performance evidence for ISO 50001 and ESG workflows, generate scheduled reports, and hand over traceable datasets without rebuilding the same spreadsheet process every reporting period.
Reuse approved energy data and KPI calculations across reporting periods.
Trace reported values back to their source, scope, and methodology
Identify gaps and inconsistencies before data is handed over.
For energy managers, operations teams, and sustainability stakeholders who need a reliable path from technical source systems to recurring reports and disclosures.
Trusted by leading data centers, manufacturers, and energy innovators.
Manual Reporting
Energy reporting still depends on too many spreadsheets
Most organizations already collect the data needed for energy-management and sustainability reporting. The challenge is preparing it consistently.
Every reporting cycle often repeats the same manual work: exporting data, aligning units, checking gaps, rebuilding formulas, validating boundaries, and explaining the final numbers.
Manual workflows consume scarce expert time and increase the risk of inconsistent evidence, late corrections, and repeated assurance questions.
Energy data is distributed across meters, BMS, SCADA, historians, utility files, and spreadsheets.
Asset names, meter hierarchies, and reporting boundaries differ between sites.
Calculation logic changes between people or reporting periods without a visible record.
Missing data and implausible values are discovered late.
Energy, operations, finance, and sustainability teams exchange files without shared source context.
Report preparation absorbs technical expertise that is needed elsewhere.
Structured Reporting
Turn operational energy data into repeatable reporting workflows
etaONE® structures energy data around the systems, assets, sites, and reporting boundaries behind it. Reusable calculations, data-quality checks, dashboards, and exports reduce repetitive preparation while keeping responsibilities and assumptions visible.
Connect energy and operating data
Retrieve relevant time series from available meters, BMS, SCADA, PLCs, historians, APIs, and files using configured connections.
Reporting can begin from the operational source instead of a chain of copied spreadsheets.
Structure metadata and reporting boundaries
Map signals to sites, systems, assets, utilities, units, organizational scopes, and reporting periods.
A reported value retains the context needed to understand what is included and excluded.
Standardize (KPI) logic
Apply configured calculations for energy-performance indicators, aggregations, normalization, and baseline comparisons.
Teams reduce repeated formula work and keep approved logic consistent across reporting periods.
Validate data before reporting
Use configured checks to surface gaps, duplicates, inconsistent units, unusual ranges, or other defined conditions.
Potential reporting issues can be reviewed before the output is distributed.
Generate scheduled reports and exports
Turn approved dashboards or report views into recurring PDFs or structured data exports.
Teams can generate consistent outputs without recreating the layout and dataset each time.
Improve handoffs between teams
Retain the relationship between source data, transformations, reporting scopes, and final outputs.
Energy and sustainability teams can discuss the same number with a clearer evidence trail.
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.
Reporting Impact
Improve reporting speed, consistency, and traceability
Accelerate reporting cycles
Reduce the time spent collecting, aligning, and formatting the same energy data for every reporting period.
Simplify manual file handling
Reduce the number of local files, exports, copy-paste steps, and spreadsheet handoffs.
Identify data gaps earlier
Surface missing intervals, inconsistent units, and incomplete metadata before they delay a report or create correction loops.
Trace figures back to their source
Connect reported values with the underlying data, system boundary, calculation method, and reporting period.
Reuse trusted evidence
Use reviewed data and transformations across management reports and downstream ESG workflows.
Streamline cross-team handoffs
Reduce clarification and correction loops between technical, finance, and sustainability teams.
Data centers
Optimize cooling plants, free cooling, hydraulic distribution, airflow-related dependencies, and supply temperatures while protecting mission-critical uptime and stability.
Manufacturing and automotive
Reduce energy waste in process cooling, ventilation, heating, and site-level energy systems with variable production schedules and operating modes.
Pharmaceuticals and clean environments
Improve HVAC and utility efficiency while maintaining stable environmental conditions, compliance requirements, and operational boundaries.
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.
Proven impact
Trusted by leading operators worldwide
Equinix, Merck, and others achieve up to 50% cooling energy savings with etalytics. Explore our case studies.
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Start Here
Build a faster, more traceable reporting workflow
Structured reporting does more than simplify compliance. It creates a trusted operational data foundation that supports benchmarking, predictive analytics, and continuous optimization across the organization.
Use the feasibility study to determine how etaONE® can reduce manual preparation, standardize recurring calculations, and improve the handoff between energy, operations, finance, and sustainability teams.
Trusted by operators across data centers and industry
FAQ
Questions? We’ve got you covered.
Start with a free feasibility study
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