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Shaping the Future of Carbon Capture and Hydrogen Optimization with AI

At Solvra.AI, we pioneer intelligent control systems that tackle the most energy-intensive stages of industrial decarbonization — from solvent regeneration in CO₂ capture to hydrogen production optimization in smart energy hubs.

 

Using Deep Reinforcement Learning (DRL) and real-time industrial data, our AI platform learns, adapts, and autonomously controls key energy systems. This unlocks scalable, cost-effective, and retrofittable solutions that drastically reduce operational costs — while accelerating progress toward climate targets.

 

Headquartered at the LIT Open Innovation Center in Linz, Austria, Solvra.AI is building the next generation of AI-powered decarbonization tools — modular, vendor-agnostic, and ready for deployment across sectors such as cement, chemical, steel, and energy infrastructure.

Amir Shams

 

Founder & CEO, Elektro Grün AI GmbH

Amirmansour brings a rare combination of deep cleantech expertise and entrepreneurial leadership to drive Solvra.AI’s mission forward.

 

  • 🎓 Education: M.Sc. in Renewable Energy Engineering

  • ⚙️ Expertise: Industrial energy systems, solvent regeneration, electrolyzer control, carbon capture technologies

  • 🧠 Focus: AI-based optimization of energy-intensive processes

  • 🤝 Role: Leads partnerships, product strategy, and AI deployment in industrial settings

Naser Paanahi

Co-Founder & CTO, Solvra.AI 

Naser is an experienced AI/ML specialist focused on applying Deep Reinforcement Learning and control algorithms to optimize complex energy-intensive industrial processes

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•Education: M.Sc. in Artificial Intelligence, Sharif University

•Expertise: Deep RL, industrial process modeling, control optimization, computer vision

•Role: Designs and trains AI models for real-time solvent regeneration optimization, carbon capture control loops, and adaptive energy management

Nouman Akram

Senior Advisor, Process Engineering & Industrial Integration

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Nouman brings hands-on industrial experience in CO₂ capture systems and plant integration, ensuring AI models align with real-world operational constraints.

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•Education: Doctor of Science in Energy Technology, Montanuniversität Leoben

•Expertise: Solvent-based CO₂ capture, energy efficiency, industrial scale-up

•Role: Advises on pilot deployment, process constraints, and engineering interfaces between Solvra.AI’s AI platform and plant infrastructure.

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