Book Demo
Book Demo
Energy Autonomy
Optimize sourcing, generation, and storage based on market signals
Reduce energy costs by aligning sourcing, generation, and storage with electricity prices, gas prices, tariffs, and demand peaks
Replace fixed schedules with adaptive dispatch across CHP, boilers, batteries, storage, and flexible loads
Improve flexibility value while respecting asset limits, operational dependencies, and technical constraints
Built for industrial energy systems with coupled electricity and heat assets, volatile energy markets, and real plant constraints.
Trusted by leading data centers, manufacturers, and energy innovators.
Optimize every energy decision
Energy costs are becoming increasingly dynamic. Fixed operating schedules are no longer enough.
etalytics combines energy prices, site demand, asset performance and operational constraints to determine the best way to source, generate, store and use energy.Instead of optimizing individual assets separately, etalytics manages the complete energy system—from CHP and boilers to batteries, renewable generation and flexible loads.
Align storage and generation flexibly with price and demand signals.
Coordinate electricity and gas procurement with on-site asset operation.
Detect price peaks, demand peaks, and tariff windows early and translate them directly into operational decisions.
CHP, boilers, heat pumps, batteries, renewable generation, and flexible loads are optimized separately
Manual planning makes it difficult to react to volatility, asset availability, and changing site demand
Adaptive Dispatch
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.
Bivalent energy source control
Select whether demand should be covered through onsite generation, storage, or external sourcing based on prices, asset status, and site priorities.
Spot, forward, and tariff alignment
Align procurement and dispatch with electricity prices, gas prices, dynamic tariffs, grid charges, and relevant market signals
CHP, heat pump and boiler coordination:
Schedule CHP and boiler operations based on electricity prices, gas prices, heat demand, asset efficiency, and system constraints.
Storage-based load shifting
Charge and discharge storage dynamically to avoid high-cost periods and reduce peak demand
Flexible renewable integration
Include renewable generation in dispatch decisions alongside storage, conventional assets, and flexible loads
Controlled charging infrastructure
Schedule charging loads in line with available capacity, tariff structures, and site demand
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 to optimize your operations?
Start With a Feasibility Assessment
The feasibility assessment identifies where market-adaptive scheduling 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
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.
