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FAQ

Product

What challenge/problem does your solution or technology solve?

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.

Can your AI system automatically adjust settings or provide recommendations for manual adjustment?

Yes, etalytics offers both a closed loop (autonomous control optimization) and an open loop solution (interactive control optimization).

What impact does AI-based optimization have on production safety and compliance?

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.

How long does implementation take, and will there be downtime?

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.

What kind of reporting and monitoring does etaONE® provide?

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.

How much energy can be saved in pharmaceutical or chemical plants?

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.

Is AI-based optimization compatible with existing energy and process control systems?

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.

Does AI optimization affect plant availability or product quality?

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.

How long does implementation take and will there be downtime?

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.

How much energy can automotive plants save with AI-based optimization?

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.

Is AI-based optimization compatible with existing BMS or energy systems?

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.

How much energy can data centers save with AI-driven cooling optimization?

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.

FAQ

Company

Are your services limited to certain countries or geographic zones?

There are no specific geographic restrictions, we are able to implement our software remotely.

FAQ

Support

What kind of training do you offer regarding operation?

We offer an operator training at the customer´s premises individually and adapted to the customer´s needs.

FAQ

Feasibilty Study

What is included in the free feasibility study?

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.