Hybrid Optimizer

A biological performance digital twin that predicts plant behavior and optimizes treatment performance 

hybrid optimizer

A live digital twin for predictive plant operations. 

Hybrid Optimizer combines mechanistic process models with machine learning to create a live operational digital twin. It transforms SCADA and lab data into forward-looking insight that improves decision making, stabilizes processes and reduces operating costs. 

What Hybrid Optimizer enables

The impact you can expect

Eyes on the system

Visibility that reduces operator burden

Lower operating cost

Up to 30% reduction in plant operating cost

Hours to days ahead

Anticipate process shifts and make faster, more confident control decisions 

How Hybrid Optimizer works 

Digital

Creates a live digital twin

Hybrid Optimizer combines physics-based process models with machine learning to simulate treatment plant behavior in real time.

Digital

Integrated operational data

The platform ingests SCADA, lab and external data, cleans and fills gaps, and generates “virtual sensors” to estimate critical process parameters.

Looking at wastewater plant

Forecasts and optimizes operations

Predictive modeling and multi-objective optimization identify opportunities to stabilize processes and reduce energy and chemical consumption. 

Why utilities choose Hybrid Optimizer  

A true live digital twin

Combines physics-based process modeling and machine learning to deliver forward-looking operational insight. 

Unique soft-sensor capability

Estimates critical process variables without additional instrumentation, expanding visibility across the plant.

Built on deep wastewater expertise

Developed with our treatment expertise and advanced analytics to support real-world plant operations. 

professionals at a table

See how Hybrid Optimizer can work for you

Explore how a live digital twin can help your treatment plant forecast performance, stabilize processes and reduce operating costs.