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.

RL for Industrial Control

Three Active Deployments in Water and Wastewater

Real world deployment

Automating coagulant dosing and backwash in Drayton Valley, AB

Real world deployment

Optimizing H2S Scrubber at EPCOR wastewater plant, Edmonton, AB

Real world deployment

Automating Chlorine injection, mobile plant in Osoyoos, BC

Our Product

On-premises solution

Lightweight algorithms deployed on-site, with cybersecurity top-of-mind.

Realtime process monitoring and control

Continually adapt setpoints as conditions change, to improve reliability, reduce operating costs and alert operators to issues

Leverage historical data and fine-tune in deployment

Learns how to optimize specifically for your system

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