Advance Control without a PH.D.
Powered by out-of-the-box, next-generation Machine Learning technology, SORBA-Advance Control is redefining output optimization in process control centric verticals.
SORBA-Advance Control is the first out-of-the-box, PID loop optimization solution that processes big data in minutes, backed by proprietary machine learning piping that detects and predicts anomalies down to the equipment level before failures or unwarranted process variable overshoot.
The Technology of the Future Isn’t Smoke and Mirrors
Predictive analytics is the key to both monitoring and analyzing vast amounts of asset sensor data collected during critical control processes. By adapting to the development of “smart” infrastructures”, utilities and quality production-driven industries can embrace Machine Learning technology without the need to hire resource-intensive, data science consultants, or teams.
Acting as a real-time, 24-7 virtual operator, SORBA-Advance Control collects sensor data for analysis on-premises, eliminating the need for dedicated hardware or software. Using advanced AI and predictive analytics, it learns, detects, and classifies patterns within the existing wastewater process; enabling operators to tune the PID loop for optimal results.
Based on the collected data, SORBA-Advance Control will create and deploy SORBOTS or “smart problem-solving algorithms” that proactively monitor vital areas in your control process for early-stage failures, anomaly detection, quality issues, safety concerns, and environmental events.
Value-Added Technology, Disrupting Industry Paradigm
Non-intrusive data collection is adjacent to your plant PLCs on-premise or virtually.
Perform data collection that is bulk, scalable, and flexible to your industrial process controls existing infrastructure.
Automate ideal PID Loop tuning parameters, in real-time, with 80% or greater confidence levels.
Agnostic approach to collecting, processing, and analyzing big data.
Decrease quality control expenses.
Increase energy efficiency to improve public relations in conversation efforts.
Accelerate ROI driven, labor, and organizational efficiency.
Optimize yield and consumption outputs for overhead savings.