● WATER PROCESS INTELLIGENCE
Turn Water Process Data into Reliable Decisions.
Physics-informed hybrid AI and computer vision turn complex plant signals into explainable, operator-ready recommendations.
AI Dose is within the operator-approved safety envelope.
SOLUTIONS
One intelligence layer.
Three operational advantages.
Predexa Flow combines existing sensor data, operator rules, and visual signals to strengthen decisions without replacing field expertise.
High-Turbidity Prediction
Supports coagulant dosage decisions when rare, high-NTU events make conventional models less reliable.
- NTU, pH, TDS and flow inputs
- Site-specific PAC calibration
- Safety-envelope validation
Vision-Based Monitoring
Detects foam, color, sludge and surface-pattern changes that ordinary process sensors can miss.
- IR-ready edge cameras
- Temporal smoothing and ROI masking
- Explainable visual evidence
Operator Decision Support
Turns predictions into transparent recommendations operators can review, adjust, and trust.
- Rule + AI hybrid reasoning
- Confidence and risk indicators
- Feedback-driven improvement
TECHNOLOGY
AI grounded in the physics of water treatment.
Pure data models struggle when high-turbidity events are scarce. Our hybrid approach anchors learning to dosage tables, process constraints, and operator knowledge—then uses AI to correct residual error.
PHYSICS-INFORMED HYBRID MODEL
PILOT PATH
Start with one plant.
Prove value with your data.
Discover
Define pain points, available signals, and success criteria.
Connect
Integrate plant data and deploy edge vision where required.
Calibrate
Align chemistry, PAC concentration, and operator rules.
Validate
Measure accuracy and build a practical scale-up plan.
LET'S BUILD SAFER WATER OPERATIONS
Ready to test Water AI
at your plant?
Tell us about your process, data availability, and operational challenge. We'll outline a practical PoC scope.
Discuss a Pilot ↗