Book Demo
Book Demo
Energy Foresight
Predictive Maintenance for Critical Energy Systems
Early-warning asset anomaly detection
Degradation-pattern recognition
Condition-based maintenance prioritization
For Data center cooling, Manufacturing HVAC, District energy systems , Thermal storage
Trusted by leading data centers, manufacturers, and energy innovators.
EARLY RISK DETECTION
Detect anomalies early. Prevent outages.
Protect uptime with early detection. etaONE® identifies performance degradation in pumps, chillers, compressors, and utility systems long before conventional alarms detect a problem.
Each asset's behavior is continuously compared against its expected pattern, so abnormal operation surfaces weeks before it reaches a critical threshold — giving your team time to investigate, plan, or prevent escalation.
Gradual efficiency loss and recurring deviations become visible while they're still small, — before slow degradation turns into failure, capacity loss, or persistent waste.
Detected issues are ranked by operational relevance and remaining-life risk, so your team plans interventions around actual asset condition instead of fixed calendar schedules or guesswork.
Every anomaly is linked to the affected asset, signals, timing, and operating context — so engineers start root-cause analysis already knowing what changed, when, and where.
What You Get
System-Level AI Control Built on Digital Twins
The solution can be introduced step by step, starting with a focused use case and scaling across additional systems, assets, or sites oncethe business case is validated.
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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.
For engineering and company leaders
Outcomes your team and your business can measure.
Extend equipment lifecycle
Detect wear and fouling early to cut unplanned downtime and stretch the working life of chillers, pumps, and compressors
Replace maintenance that can't keep up
Catch the dynamic, multi-signal degradation that fixed schedules and threshold alarms were never designed to see
Plan interventions instead of reacting to them
Move from emergency callouts to scheduled, condition-based maintenance on your timeline.
Preserve institutional knowledge
The digital twin captures how your specific assets behave, so expertise doesn't walk out when a senior engineer leaves.
Always stay in control
Detection and recommendations operate within your defined boundaries; the AI surfaces and advises, your team decides.
De-risk your SLAs and uptime commitments
Early detection of failure precursors reduces the excursions and outages that threaten service-level guarantees.
Protect competitiveness in the AI era
Keep reliability and efficiency on the right side of the line where margin, contracts, and compliance are won or lost.
Improve reliability without capital expenditure
More uptime from existing infrastructure, with no new hardware and no rip-and-replace.
Scale from one site to the whole portfolio
Prove value at a single facility, then roll the same predictive layer across the fleet.
Lower lifecycle cost
Condition-based maintenance reduces both emergency spend and premature replacement across the asset base.
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.
Chemicals and industrial production
Coordinate cooling, heating, ventilation, thermal utilities, and electrical infrastructure under fluctuating production loads and changing energy prices.
Why etalytics
Because efficiency software should do more than show dashboards.
etaONE® turns your operational data into a live digital twin of your energy system and uses AI to continuously identify the best operating strategy for your site. The result is lower energy cost, earlier detection of performance drift, and better operational decisions with less manual work – without replacing your existing infrastructure.
System-level optimization, not siloed fixes
etalytics optimizes across cooling, heating, ventilation, electrical infrastructure, storage, CHP, and microgrids.
Digital twin foundation
Physical and data-driven models make complex system behavior transparent and provide the basis for reliable optimization.
AI operators can trust
Recommendations and control actions are explainable, bounded, and validated against real operating behavior.
Built for critical infrastructure
The solution supports fallback strategies, manual override options, and operation within defined safety and reliability boundaries.
Existing-infrastructure-first approach
Projects usually start with available sensors, meters, data sources, and control points, with additional hardware recommended only where core measurements are missing, or model accuracy would materially improve.
Business-case driven delivery
etalytics focuses on optimization scopes where expected savings and operational value exceed solution cost and create a validated business case.
Fast path to value
A focused first implementation can often be completed in roughly three months once access, data, and customer-side decisions are available, depending on project scope and customer readiness.
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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Ready for the next step?
See what etaONE® predicts before you invest.
Start with a free feasibility study. We analyze your existing data, model your system, and show you what simulation cande-risk — no system changes, no obligation.
Trusted by operators across data centers and industry
FAQ
Questions? We’ve got you covered.
Start with a free feasibility study
Ready to improve your facility's energy efficiency ?
Discover where your biggest savings potential lies. Our experts analyze your energy system, identify opportunities, and show you the path to lower costs, emissions and resilient operations – with AI you can trust.
We empower industries to make complex energy systems and operations more intelligent, efficient, and resilient — with AI and digital twins that operators can trust.
