Redefining Industrial Decarbonization with AI

At Elektro Grün AI GmbH, we pioneer next-generation AI solutions that redefine the economics of industrial decarbonization.

Decentralized AI-Powered

Our Deep Reinforcement Learning (DRL)-powered platform intelligently controls the most energy-intensive stages of carbon capture and hydrogen production — from solvent regeneration in CO₂ capture systems to electrolyzer optimization in smart energy hubs.

This AI-first approach unlocks up to 30% cost savings, improves system performance, and enables retrofit-ready integration across hard-to-abate sectors like cement, steel, and chemicals — supporting a truly scalable and future-proof transition to net-zero.

AI-Driven Decarbonization: Carbon Capture & Hydrogen Production

At Elektro Grün AI GmbH, we develop intelligent control systems that optimize both CO₂ capture and green hydrogen production, making decarbonization truly scalable, efficient, and affordable for industry.

Our approach is built on three AI pillars:

Dynamic Optimization

Our AI continuously adjusts system parameters in real-time to minimize energy use and chemical consumption — whether in carbon capture (e.g., solvent regeneration) or hydrogen production (e.g., electrolyzer efficiency, steam flow).
Predictive Maintenance

Advanced machine learning models detect system faults and degradation early — reducing unplanned downtime and operational risks.
Modular Industrial Integration

Retrofit-ready AI modules connect directly to existing plant systems (via SCADA/DCS), enabling seamless upgrades across cement, chemical, steel, and energy sectors.

💡 Impact

CO₂ Capture Optimization
- Current cost: €80–120 / ton CO₂
- With AI: €50–70 / ton CO₂
- In optimized plants: as low as €40 / ton CO₂
Hydrogen Production Optimization
- Up to 30% energy savings in steam or electricity use
- Enables smart integration with renewable energy (solar, waste heat)
- Reduces Levelized Cost of Hydrogen (LCOH) and improves output stability