Reinforcement Learning applied across industrial control to enable automation and adaptation in deployment
Our software monitors process variables in realtime, continually adapting to optimize plant operations. This frees operators to focus on maintenance, emergency response, etc. Operators and AI work together. The technology is built on reinforcement learning (RL): machine learning for control. RL can make use of realtime process information and historical data to optimize complex processes.
Automating coagulant dosing and backwash in Drayton Valley, AB
Optimizing H2S Scrubber at EPCOR wastewater plant, Edmonton, AB
Automating Chlorine injection, mobile plant in Osoyoos, BC
Lightweight algorithms deployed on-site, with cybersecurity top-of-mind.
Continually adapt setpoints as conditions change, to improve reliability, reduce operating costs and alert operators to issues
Learns how to optimize specifically for your system