AI-Optimized Decarbonization: Carbon Capture & Hydrogen Intelligence

Solvra.AI, based at the LIT Open Innovation Center in Linz, develops cutting-edge AI control systems for decarbonized industrial energy — including solvent regeneration in CO₂ capture and AI-optimized hydrogen production in local renewable energy hubs.

AI-Optimized Solvent Regeneration (Solvra.AI Control Platform):

Using real-time sensor data from industrial plants and energy hubs, our platform applies Deep Reinforcement Learning to continuously optimize:

Solvent flow & regeneration energy in CO₂ capture
Electrolyzer operation & hydrogen output in smart energy hubs
Thermal & pressure management across integrated systems

-Retrofit-Ready & Vendor-Agnostic:

Our modular AI platform integrates seamlessly into CO₂ capture units and hydrogen production systems — supporting any solvent, electrolyzer, or plant setup. Ideal for sectors like cement, steel, chemicals, energy storage, and smart industrial districts.

- Future-Ready Architecture

Built for scalable deployment, cloud connectivity, and full compatibility with SCADA/DCS systems. Our modular design enables phased integration of both CO₂ capture and hydrogen production systems — from real-time monitoring to fully autonomous AI control.

AI Optimized Smart Energy Hub

-Making industrial CO₂ capture affordable and scalable with AI-optimized solutions.

Innovation for a Net-Zero Future

At SolvraAI, we harness the power of AI to transform industrial decarbonization — from cutting the high energy cost of solvent regeneration in CO₂ capture systems to optimizing hydrogen production in smart energy hubs. Our intelligent control platform enables scalable, retrofit-ready solutions that reduce emissions, boost efficiency, and support a net-zero future.

AI-Optimized Carbon Capture & Hydrogen Control

Using Deep Reinforcement Learning and real-time sensor data, our system optimizes CO₂ solvent regeneration and hydrogen production processes. This dual optimization cuts energy use by up to 30%, ensures >90% CO₂ capture efficiency, and boosts hydrogen yield — enabling cost-effective upgrades across hard-to-abate industries.

AI-Optimized Solvent & Hydrogen Regeneration

Cutting carbon and boosting efficiency in CO₂ capture and hydrogen production.

Solvra.AI focuses on the two most energy-intensive processes in decarbonization: solvent regeneration in CO₂ capture and hydrogen generation via electrolysis.

Using Deep Reinforcement Learning (DRL) and real-time plant data, our system:

Reads: Flue gas composition, pressure, solvent temperature, flow rates, electrolyzer metrics, and steam availability
Learns: In real time, adapting to plant conditions and operational shifts
Controls: Steam input, solvent circulation, electrolyzer setpoints, and energy routing
Delivers: Up to 30% energy savings in solvent regeneration and increased hydrogen yield in smart energy hubs

This dual-purpose, retrofit-ready AI module unlocks scalable upgrades for industrial decarbonization — from cement plants to hydrogen hubs.

Milestones

2025

MVP Completed – Solvent Health Intelligence

Solvra.AI is founded to address one of the most critical blind spots in amine-based gas treatment and CO₂ capture plants: real-time solvent health visibility.

✅ MVP completed for AI-driven solvent degradation and risk monitoring.

🧠 Models trained on real industrial amine plant datasets (process data + lab chemistry)

📊 Predicts solvent degradation, corrosion risk, foaming, and reclaiming needs

🏢 Based at LIT Open Innovation Center, Linz

🔍 Validated on real operational data — not a simulation

🚀 Ready for pilot deployment in industrial gas treating and CCS plants

2027

Commercial Licensing & Industrial Scaling

Transition from pilots to commercial multi-site deployment.

📈 Commercial rollout across gas processing, refineries, hydrogen, LNG, and CCS plants

💼 Industrial SaaS model: setup fee + recurring subscription

🔗 Integrations with historians, lab systems, and plant data infrastructure

🤝 Long-term contracts with plant operators, EPCs, and technology licensors

🌍 Expansion across Europe, Middle East, and mature industrial markets

2026

Pilot Projects in Live Industrial Plants

2028

Platform Expansion & Global Leadership

Launch first industrial pilot deployments with real operating partners.

🏭 Deploy Solvra.AI in live amine gas treating / CO₂ capture plants

🔬 Real-time solvent health monitoring using existing historian & lab data

⚠️ Early-warning alerts for degradation, corrosion, and reclaiming needs

🔌 Read-only, retrofit-ready integration (no DCS write access, no process risk)

📉 Reduce unplanned solvent reclaiming and degradation-related energy penalties

📄 Deliver pilot validation reports proving operational and economic value

Establish Solvra.AI as the standard solvent intelligence layer for amine plants.

🏆 Go-to AI platform for solvent health monitoring in amine-based systems

📊 Fleet-level benchmarking and cross-plant insights

🧠 Advanced advisory modules for reclaiming strategy and solvent life extension

⚡ Expansion into energy-aware decision support for regeneration systems

🌱 Enable safer, lower-cost, and more sustainable operation of industrial plants

Latest Updates

🚀 Progress at Solvra.AI

We are moving toward cooperation with EIC (Energy Innovation Centre) and its amine solvent-based carbon capture plant at Sheffield Business Park, where there is strong interest in applying and scaling our AI-driven reboiler duty optimization technology in an industrial CCUS environment. An important step toward validating advanced AI solutions for energy-intensive carbon capture processes.

Feb 51 min read