This company applies reinforcement learning (RL) software to industrial control systems for real-time process optimization and automation. Their on-premises solution monitors process variables continuously, adapting setpoints to improve reliability and reduce operating costs. The technology allows operators to focus on maintenance and emergency response while the AI fine-tunes complex processes using historical and live data.
Funding
$5.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many industrial control systems rely on static configurations that do not adapt to changing conditions, leading to suboptimal performance, increased operating costs, and potential inefficiencies. Operators must manually adjust parameters, diverting their attention from other critical tasks like maintenance and emergency response.
Solution
RL Core Technologies offers a reinforcement learning (RL) based software solution that automates and optimizes industrial control systems. The software continuously monitors process variables in real-time and adapts control setpoints to improve reliability and reduce operating costs. By leveraging both real-time process information and historical data, the system learns to optimize specifically for each unique deployment. This allows operators to focus on higher-level tasks while the AI autonomously manages complex processes.
Target Audience
The primary target audience includes operators and managers of industrial facilities, particularly in the water and wastewater treatment sectors, seeking to automate process control, reduce operating costs, and improve system reliability.
Features
- On-premises deployment of lightweight RL algorithms for industrial control.
- Real-time process monitoring and adaptive control setpoints.
- Continuous learning and optimization based on historical data.
- Cybersecurity-focused design for secure on-site operation.
- Automated coagulant dosing and backwash optimization for water treatment.
- H2S scrubber optimization for wastewater plants.
- Automated chlorine injection control.