Water and wastewater systems operate under ever-changing influent profiles, climate variability and tightening regulations. Yet many utilities and industries still rely on periodic sampling and lagging indicators to make treatment decisions. This reactive model results in higher chemical usage, energy waste and compliance risks.
According to the World Bank, over 80% of global wastewater is discharged untreated and even treated systems often fail to adapt dynamically to load fluctuations. Operators need tools that predict, not just react.
WOG Technologies Limited delivers AI-powered water quality prediction platforms, advanced data systems and analysis that helps in preventing plant downtime or breakdown. Our models ingest real-time SCADA data, weather inputs and historical treatment trends to forecast critical quality parameters such as:
Contact WOG Technologies Limited to learn how AI for water quality prediction can elevate your treatment efficiency, regulatory readiness and cost control.
If you’re not already collecting your operating data, talk to us about how we can get you set up quickly and cost-effectively.
AI models ingest continuous streams of data, learning from historical and current patterns to forecast future water quality with greater speed and precision. This allows facilities to anticipate changes before they occur, rather than reacting after a compliance breach.
Yes. WOG’s AI engine is built to integrate with SCADA for water and wastewater treatment plants, ensuring real-time prediction, historical analysis and dynamic control over existing infrastructure.
Our models can predict BOD, COD, TSS, DO, pH, ammonia, phosphorus, nitrates, conductivity and other parameters critical for effluent quality, reuse potential and regulatory compliance.
Absolutely. The platform is modular and scalable, supporting decentralized wastewater treatment systems and compact on-site units with limited monitoring capabilities.
All AI insights are auditable and explainable through dashboards and reports. Data security protocols follow global best practices and model decisions are transparent for audit and compliance teams.
