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Industrial energy supply systems are highly complex and interdependent. Conventional control strategies often fail to react dynamically to changing conditions, leading to significant energy waste, higher costs, and unnecessary emissions. Our technology helps industrial energy system operators cut costs, reduce emissions, and enhance resilience. By unlocking the full potential of energy data through digital twins, predictive analytics, and AI-driven optimization, we enable smart, automated control strategies that continuously improve efficiency and reliability.
Yes, etalytics offers both a closed loop (autonomous control optimization) and an open loop solution (interactive control optimization).
Our solution is designed for critical infrastructures. etaONE® optimizes in the background and operates within defined safety boundaries. Manual override is always possible. In addition, the system supports GxP documentation and regulatory requirements – rather than complicating them.
Implementation is carried out in phases and without interfering with production. Thanks to our human-in-the-loop approach, your process safety is always ensured – with clearly defined fallback scenarios. First savings usually become visible within the first weeks after project start.
etaONE® offers a centralized platform for real-time data, energy KPIs (e.g., specific energy consumption per batch), equipment status, and emissions. Automated support is provided for ESG reporting, GxP-compliant documentation, and sustainability reports.
Typical savings range from 15–40%, depending on system complexity and initial conditions, in areas such as cooling supply, ventilation, or heating. Predictive control also helps reduce peak loads and equipment wear. The result: lower costs and higher plant availability.
Yes. etaONE® integrates seamlessly into existing energy and building management systems (e.g., SCADA, BMS, PLCs) – without interfering with your critical processes or requiring hardware replacement. We use established interfaces and protocols to ensure secure connectivity.
No – on the contrary. Optimization is carried out within defined operating limits. etaONE® was developed for critical industrial environments and includes fallback mechanisms that ensure a safe switch back to conventional control at any time. Production quality, availability, and safety remain fully guaranteed.
Implementation can be completed within a few weeks – aligned with your production cycle. No production downtime is required. We work during ongoing operations and start with a recommendation level (“interactive optimization – human-in-the-loop”) before activating autonomous operation.
Our automotive industry customers typically achieve energy savings of 30–60%, particularly in energy-intensive areas such as paint shops. These savings are achieved through intelligent control, dynamic balancing, and forecasting.
Yes. etaONE® integrates seamlessly with existing control systems such as building and production management systems (e.g., BMS, SCADA). The integration is done via standard interfaces and protocols – no hardware replacement is required. This allows production sites to benefit from AI-optimized control without interruption.
Clients typically achieve between 20-40% savings in cooling-related energy use, depending on system conditions and baseline efficiency. The platform also supports long-term cost reduction through automated control and predictive logic.
There are no specific geographic restrictions, we are able to implement our software remotely.
We offer an operator training at the customer´s premises individually and adapted to the customer´s needs.
The feasibility study provides a first analysis of your existing energy system using available operational data. We identify tailored use cases, evaluate optimization potential, and estimate achievable energy and cost savings—including ROI and compliance benefits. It also includes an assessment of how etaONE® can be integrated into your current infrastructure (BMS/PLC/SCADA) using standard protocols—no hardware changes required. The study is non-binding and designed to give you a clear, data-backed foundation for decision-making.
We empower industries to make complex energy systems and operations more intelligent, efficient, and resilient — with AI and digital twins that operators can trust.