IntelliFlux Controls develops process automation software that utilizes machine learning and artificial intelligence to optimize operations in water treatment facilities. The platform enhances operational reliability and efficiency by autonomously managing fluctuations in feed quality and providing actionable insights, resulting in significant reductions in energy consumption and waste.
Funding
$12.6M 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
Water treatment facilities often face operational challenges due to fluctuations in feed water quality and other extraneous factors, leading to inefficiencies, increased energy consumption, and potential upsets in the treatment process. Traditional process control systems may lack the adaptability and intelligence to autonomously manage these variations and optimize plant performance in real-time.
Solution
IntelliFlux Controls offers a process automation software platform that leverages machine learning and artificial intelligence to transform conventional plants into smart plants. The platform, built upon the APRICOT™ software, integrates with existing PLC/SCADA systems through an edge control device (ECD) and proprietary software, creating a smart-SCADA system. IntelliFlux continuously monitors plant operations, learns process behavior, and develops a knowledge base for complex decision-making related to process optimization. The system provides real-time insights and autonomous adjustments to control setpoints, improving plant reliability, reducing OPEX, and enhancing sustainability.
Target Audience
IntelliFlux Controls targets plant owners, operations professionals, and process engineers in industries such as water and wastewater treatment, oil and gas, mining, food and beverage, and textile processing.
Features
- Real-time process monitoring and data assimilation from existing PLC/SCADA systems
- Machine learning-based process analytics and predictive recommendations
- Digital Twin models for process control decision support and automation
- Autonomous adjustment of operating setpoints based on self-learning AI algorithms
- Customizable operator dashboards and automated daily/weekly reporting
- Secure, lossless encryption and IEC 27000 compliant communication standards
- Compatibility with various PLC brands and industrial communication protocols
- Remote monitoring and management capabilities for authenticated operators