Book Demo
Book Demo
Energy Autonomy
Improve Industrial Energy Procurement with Real Site Data
Align procurement decisions with actual site demand patterns
Reduce exposure to avoidable price, volume, and peak-related risk
Use operational flexibility more strategically in energy buying
Built for industrial teams that need procurement decisions grounded in real operational energy behavior.
Trusted by leading data centers, manufacturers, and energy innovators.
Cost Exposure
Automated Energy Procurement Software
Many industrial energy procurement decisions are still based on static assumptions, fragmented planning inputs, or incomplete demand visibility. But industrial sites do not behave statically. Production schedules shift, technical loads change, and flexibility is often not reflected in procurement logic. As a result, energy buying decisions become harder to size, harder to time, and harder to optimize.
Use up-to-date demand forecasts as a reliable basis for energy procurement.
Adapt your procurement strategy flexibly as load profiles change.
Connect procurement, operations, and engineering through a shared data view.
Account for peak loads, price developments, and site-specific constraints early on.
Align market signals with asset behavior to capture cost-saving opportunities.
What You Get
System-Level AI Control Built on Digital Twins
etalytics connects operational data across your energy infrastructure, creates system-level transparency with digital twins, and deploys AI-driven optimization that operators can understand and trust. etalytics coordinates the full system with indefined operating boundaries to improve efficiency, resilience, and sustainability.
Demand pattern analysis
Structure historical and live energy data by time, asset, utility, and operating condition to reveal actual consumption behavior
Price and exposure visibility
Evaluate procurement-relevant demand scenarios against changing market conditions and risk windows
Flexibility-aware procurement planning
Identify where operational flexibility can influence when and how energy is procured
Shared planning across teams
Bring operational, technical, and energy data into one shared view for planning and decision support
Scenario-based decision support
Compare demand, market, and operating scenarios before procurement decisions are made
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.
Measurable Impact
Operational Improvements That Matter
Lower energy costs
Reduce total energy input and cost across the optimized scope.
Measured by normalized kWh or MWh consumption, energy cost in EUR or USD, and savings compared with an agreed baseline.
Verified carbon energy savings
Reduce emissions by operating assets more efficiently and shifting operations where lower-carbon energy is available.
Measured by CO2e reduction over a defined period.
Less manual effort
Reduce manual setpoint changes, overrides, and reactive troubleshooting.
Measured by manual intervention rate, override events, and operator time spent on recurring control adjustments.
Lower equipment runtime and wear
Avoid unnecessary operation and prioritize efficient modes such as free cooling, optimized part-load operation, and coordinated asset use.
Measured by runtime hours, start-stop cycles, and utilization of active versus passive or more efficient modes.
Higher stability and supply quality
Maintain temperatures, pressures, humidity, airflow, or other operating parameters within defined boundaries.
Measured by deviation from target ranges and percentage of time within operating limits.
More intelligent use of flexibility.
Use thermal inertia, storage, on-site generation, and price signals where relevant.
Measured by shifted load, avoided peak demand, use of favorable tariffs, or demand response participation.
Validated business case
Quantify savings potential, technical fit, risk, and implementation effort before scaling.
Measured by expected savings versus solution cost and a clear rollout decision.
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.
Manufacturing and automotive
Reduce energy waste in process cooling, ventilation, heating, and site-level energy systems with variable production schedules and operating modes.
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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Ready for the next step?
Start with a Feasibility Assessment
The feasibility assessment identifies where optimized industrial energy procurement can create measurable value at your site. Together, we review the system scope, available data, control points, operational constraints, savings potential, and implementation path.
- Map relevant HVAC, thermal, electrical, storage, and on-site generation systems
- Assess available data such as electrical power, temperatures, pressures,volume flows, equipment states, runtimes, setpoints, weather, and tariff or market signals
- Identify optimization levers, operating constraints, and mission-critical boundaries
- Estimate savings potential, CO2 reduction, operational value, and implementation effort
- Define a focused first use case and rollout roadmap
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.
