Industrial Control, Reimagined.
Building the intelligence layer for industrial operations
RLCore is a deep tech company pioneering the application of reinforcement learning (RL) to tackle real-world industrial control challenges. We are dedicated to revolutionizing how industries optimize their control processes to enable greater efficiency and output quality - even in nonlinear, variable, and aging environments where legacy automation reaches its limits.
Traditional control systems react. Our software learns, adapts, and optimizes in real time.
Fast ROI. Low Lift.
Optimize existing assets for a fraction of typical RTO costs.
No new hardware. No heavy modeling. No consultants.
Deploy in days, ROI in weeks.
OT-Safe Autonomy.
On-prem. Cyber-secure.
Your data stays on-site.
Continuously adaptive, transparent and auditable.
Operator-defined guardrails.
Built to Scale.
Layers on top of existing control systems and plant infrastructure.
Start with one loop. Expand across processes and sites.
Autonomy, deployed incrementally.
Industries & Use Cases
Chemical & Process Industries
Chemical & Process Industries
- Reactor Temperature/Feed Control
- Distillation Column Optimization
- Continuous Process Stabilization
Data Centers
Data Centers
- On-site Battery/Energy Optimization
- Water Cooling
Advanced Industrial Optimization
Advanced Industrial Optimization
- Real-Time Autonomous Optimization (RTAO)
- PID/MPC Enhancement
- Adaptive Setpoint Tuning
- Multi-variable Process Optimization
- Drift Detection and Compensation
Industrial Water
Industrial Water
- Effluent Treatment Optimization
- Reagent & Chemical Dosing Control
- Aeration & Energy Reduction
- Thickener & Flotation Optimization
Municipal Drinking Water and Wastewater
Municipal Drinking Water and Wastewater
- Coagulation & Flocculation
- Disinfection
- Aeration & Biological Reduction
- Nutrient Removals
- Pumping & Level Management
Energy Systems & Microgrids (Solar + BESS)
Energy Systems & Microgrids (Solar + BESS)
- Battery Charge/Discharge Optimization
- Peak Shaving /Cost Minimization
- Arbitrage/Time-of-use Optimization
- Microgrid Stability & Scheduling
Chemical & Process Industries
Chemical & Process Industries
- Reactor Temperature/Feed Control
- Distillation Column Optimization
- Continuous Process Stabilization
Data Centers
Data Centers
- On-site Battery/Energy Optimization
- Water Cooling
Advanced Industrial Optimization
Advanced Industrial Optimization
- Real-Time Autonomous Optimization (RTAO)
- PID/MPC Enhancement
- Adaptive Setpoint Tuning
- Multi-variable Process Optimization
- Drift Detection and Compensation
Industrial Water
Industrial Water
- Effluent Treatment Optimization
- Reagent & Chemical Dosing Control
- Aeration & Energy Reduction
- Thickener & Flotation Optimization
Municipal Drinking Water and Wastewater
Municipal Drinking Water and Wastewater
- Coagulation & Flocculation
- Disinfection
- Aeration & Biological Reduction
- Nutrient Removals
- Pumping & Level Management
Energy Systems & Microgrids (Solar + BESS)
Energy Systems & Microgrids (Solar + BESS)
- Battery Charge/Discharge Optimization
- Peak Shaving /Cost Minimization
- Arbitrage/Time-of-use Optimization
- Microgrid Stability & Scheduling
Results Achieved
13% Coagulant Reduction
13% reduction in coagulant usage, saving approximately 78 kg over a five month period in the Drayton Valley Drinking Water Treatment Plant
25% increased membrane permeability
25% increased membrane permeability in the Drayton Valley Drinking Water Treatment Plant.
47% Scrubber Chemical Reduction
25% reduction in chemical costs and improved efficiency at EPCOR WW plant, equating to $75K/year savings vs baseline.
“RL Core’s work directly contributed to the optimization of our operations and cost savings at our wastewater treatment plant. Their approach showed how advanced control and AI can be introduced in a way that is aligned with how utilities actually operate.”
Frank Mannarino
Senior Vice President, EPCOR