
Solvra.AI, based at the LIT Open Innovation Center in Linz, Austria, develops a world-first AI control system for solvent regeneration in CO₂ capture systems, utilizing Deep Reinforcement Learning. Their AI-Optimized Solvent Regeneration (Solvra.AI Control Platform) uses real-time plant sensor data to continuously optimize solvent flow rates, temperatures, and reboiler energy input, aiming to reduce operational costs by up to 30%. The system is retrofit-ready, vendor-agnostic, and compatible with SCADA/DCS systems, supporting various industrial sectors including cement, steel, refineries, and chemicals. Solvra.AI's mission is to make industrial carbon capture affordable and scalable, thereby contributing to a Net-Zero Future. They have completed their MVP and are planning commercial licensing and scaling by 2027, with the goal of becoming a global leader in AI-powered capture optimization by 2028, reducing CO₂ removal costs to €40–50 per ton.

Solvra.AI, based at the LIT Open Innovation Center in Linz, Austria, develops a world-first AI control system for solvent regeneration in CO₂ capture systems, utilizing Deep Reinforcement Learning. Their AI-Optimized Solvent Regeneration (Solvra.AI Control Platform) uses real-time plant sensor data to continuously optimize solvent flow rates, temperatures, and reboiler energy input, aiming to reduce operational costs by up to 30%. The system is retrofit-ready, vendor-agnostic, and compatible with SCADA/DCS systems, supporting various industrial sectors including cement, steel, refineries, and chemicals. Solvra.AI's mission is to make industrial carbon capture affordable and scalable, thereby contributing to a Net-Zero Future. They have completed their MVP and are planning commercial licensing and scaling by 2027, with the goal of becoming a global leader in AI-powered capture optimization by 2028, reducing CO₂ removal costs to €40–50 per ton.