Book Demo
Book Demo
Powering Progress
From Research to Practice
As a university spin-off our mission is to transfer latest energy research to real applications for various industries.
Applied research
For Deep Energy Intelligence Tech
Demonstrating Energy Efficiency
At the ETA-Fabrik of TU Darmstadt, we show how modern technologies can cut energy costs and reduce CO₂ emissions.
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Unlocking Hidden Potential
There is still enormous room for energy system optimization waiting to be explored.
Shaping the Future
We continue researching data-driven technologies to enable sustainable energy management.
Our Active Research Projects
Applied Research
As a university spin-off our mission is to transfer latest energy research to real applications for various industries. In the large-scale demonstrator ETA-Fabrik at the Lichtwiese campus of Technische Universität Darmstadt, together with the research group ETA | Energy Technologies and Applications in Production, we indicate how energy costs and CO2 emissions can be significantly reduced by means of modern technology.
Because there is still enormous potential for energy system optimization to be identified, we are continuing our research into future technologies for data-supported energy management.
Partnerships That Drive Change
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Our Active Research Projects
ENIPRO – Efficient & Flexible Energy Use
AI-based optimization of industrial energy systems to increase efficiency and flexibility in production. EMPIRO integrates supply technology, production planning, and energy forecasting to reduce costs and emissions—tested at TU Darmstadt’s ETA Factory and transferable to various industries.
etaGTP - Generative Pre-trained Transformer
An interactive AI assistant for the analysis and optimization of energy systems.
Smart-KS
AI-driven control to minimize Power Usage Effectiveness (PUE) in cooling systems. Using real-time data and digital twins, SMART KS optimizes operations autonomously—reducing energy use, costs, and emissions by up to 50%.
DELTA - Darmstadt Energy Laboratory for Technologies in Application
Development of AI tools and optimization models to increase energy efficiency and reduce operating costs of industrial energy supply systems. Build compliance into daily operations. etalytics automates reporting for energy efficiency, carbon accounting, and regulatory frameworks. All metadata and telemetry data is traceable and exportable.
EISKIG - Energy Intelligence System for smart cooling systems in industrial buildings
At the ETA-Fabrik of TU Darmstadt, we show how modern technologies can cut energy costs and reduce CO₂ emissions.
KI4ETA
Artificial Intelligence for Energy Technologies and Applications in Production — this project develops an AI-based energy management platform and the supporting infrastructure (networking, sensors, control models) to close the control loop in digital factories. The goal is to increase energy efficiency and flexibility while reducing CO₂ emissions in industrial production.
Endi-QM
Energy efficiency through intelligent in-process quality monitoring — the project targets reducing primary energy consumption in hybrid injection molding processes by using IoT edge platforms, data analytics, and AI to monitor and optimize the process, predict remaining useful life of components, and adapt process parameters.
DiNaPro
Model-Based Digitalization of Sustainable Production Networks Along the Product Life Cycle — this project developed digital assistance systems and model-based approaches to support sustainable production networks throughout the entire product life cycle. The results aim to enable data-driven decision-making in product development and manufacturing.
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We empower industries to make complex energy systems and operations more intelligent, efficient, and resilient — with AI and digital twins that operators can trust.
