We are a team of engineers and scientists building domain-specific AI systems for manufacturing industries.
Manufacturing runs on decades of institutional knowledge — trapped in P&IDs, safety reports, and process simulations. When senior engineers retire, that knowledge walks out the door. We build AI systems that capture, structure, and operationalize this expertise so it stays in the organization forever.
We deploy on-site engineers who learn your specific processes, equipment naming conventions, and safety standards. They configure AI systems that understand your plant — not a generic chemical engineering textbook, but your actual operations. Most teams are up and running within 6 weeks.
Operon was founded by engineers who spent years working in chemical plants and refineries. We understand the gap between what generic AI promises and what manufacturing actually needs. Our team combines deep domain expertise in chemical engineering with cutting-edge machine learning research.