AI
Intelligence Layer
For Water & Wastewater Utilities

AI-Powered SCADA
Intelligence for
Water Utilities

Your SCADA system collects the data. ScadaLogs AI tells you what it means and what to do next. An intelligence layer on top of your existing infrastructure. No replacement required.

Deploys In
Days, not months
Integrates Via
OPC UA · Modbus · Native
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Alarm Rationalization✦Process Optimisation✦AI Long-Term Memory✦Predictive Maintenance✦Digital Twin✦Decision Support✦
— The Problem

Traditional SCADA Monitoring
Leaves Operators One Step Behind

Most water utility teams manage operations the same way they did a decade ago watching screens, responding to alarms, running maintenance on a fixed schedule. A single facility now generates millions of SCADA data points per day. Operators are flooded with alarms, most of which are not actionable. The gap is not effort. It's intelligence.

Alarm Fatigue

Hundreds of cascading alarms during an upset. Operators learn to tune them out and sometimes miss the one that matters.

Reactive Maintenance

Waiting for equipment to fail before fixing it is the most expensive way to run a facility. Unplanned downtime costs more than the part.

Suboptimal Setpoints

Operators default to 'safe' settings which often means wasting energy and under-performing on throughput.

Knowledge Loss

When an experienced operator retires, the decisions they made, the patterns they recognised none of it is written down anywhere.

Data Without Direction

Millions of SCADA data points with no scalable way to interpret them. The data is there. The meaning is not.

Security Gaps

Insider threats that bypass traditional firewall authentication are a growing operational risk legacy SCADA setups were not designed to address.

— The Solution

The AI Intelligence Layer Your
SCADA System Was Always Missing

ScadaLogs AI connects to your existing PLCs, RTUs, and SCADA infrastructure and adds a thinking layer on top. It reads your data continuously, learns the patterns specific to your facility, and surfaces the decisions that matter. Not alerts. Decisions.

Intelligent Alarm Rationalization

Groups alarms by root cause, suppresses nuisance alerts, and surfaces only the actions that need a human response.

Up to 80% reduction in alarm escalations.
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Predictive Maintenance

Continuous monitoring of vibration, pressure, flow, and current draw builds a live picture of equipment health.

60–80% reduction in unplanned downtime events.
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Process Optimisation

Adjusts setpoints automatically to hit optimal treatment performance, distribution pressure, and energy efficiency.

Up to 44% reduction in peak energy costs.
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Digital Twin Simulation

Before making changes to live service, test them in a real-time simulation of your facility.

Learn more →

AI Long-Term Memory

Every decision, every corrective action, every pattern that worked ScadaLogs AI captures it.

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Decision Support

Operator interfaces that go beyond showing what is happening they suggest what to do about it.

Learn more →
— How It Works

Works With Your Existing
SCADA in Days, Not Months

ScadaLogs AI is an intelligence layer, not a replacement. It connects through standard protocols OPC UA, Modbus, and native drivers for major PLCs and RTUs and begins learning your facility from day one.

1
Step 1

Connect

Connects to your existing SCADA via OPC UA, Modbus, and native PLC/RTU integrations. Most single-facility deployments are connected within five to ten days.

2
Step 2

Learn

The AI models learn your facility's specific patterns what normal looks like, what failure signatures look like, and which alarm combinations actually require intervention.

3
Step 3

Detect

Monitors your operational data continuously. When it detects something that matters, it flags it with context not just a number.

4
Step 4

Act

Operators receive decision-ready alerts with recommended actions, ranked by historical success rates. Nuisance alarms are handled automatically.

5
Step 5

Improve

Every action taken, every outcome recorded the models get sharper over time. The longer it runs, the more precisely it understands your facility.

— Case Study

Real Utilities.
Measurable Results.

Metro Water District

Before ScadaLogs AI, the operations team was managing over 400 daily alarms the majority of which resolved themselves or had no actionable cause. Within 90 days of deployment, alarm volume dropped by 78%.

“For the first time, I know which alarm actually needs me.”
— Operations Manager, Metro Water District

Read the full case study →

— Pricing

Plans That Scale
With Your Utility

Whether you're running a single treatment facility or managing a multi-site utility authority, ScadaLogs AI has a plan built for your operational scale.

Single Facility
Starter
Up to 1,000
data points

For single facilities ready to move beyond manual monitoring. Core alarm intelligence and equipment monitoring.

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Most Popular
Professional
Up to 10,000
data points

The full platform advanced alarm engine, predictive maintenance suite, digital twin, and API access.

Learn More
Multi-Site
Enterprise
Unlimited
data points

Multi-site management, on-premise deployment option, SLA guarantees, and 24/7 dedicated support.

Learn More
— Questions

What Water Utility Teams
Ask Before Deploying

ScadaLogs AI uses standard industrial protocols OPC UA, Modbus, and native drivers for major PLC and RTU manufacturers to connect to your existing infrastructure. There is no rip-and-replace. The platform sits as an intelligence layer on top of what you already have. Most single-facility deployments are operational within five to ten days.
The machine learning models are trained on water-specific operational data and detect failure signatures days to weeks before they occur. Accuracy improves continuously as the models learn the patterns of your specific equipment. Customers report a 60–80% reduction in unplanned downtime events.
ScadaLogs AI uses enterprise-grade encryption, role-based access controls, and full audit trails. For utilities with strict data residency requirements, on-premise deployment is available under the Enterprise plan.
Most single-facility deployments are operational within five to ten days. Multi-site enterprise implementations typically take four to eight weeks. Our team handles integration configuration and provides operator training as part of onboarding.
Yes. The Enterprise plan includes a fully on-premise deployment option for utilities in air-gapped environments or with connectivity limitations. Core AI functions run locally. Optional cloud synchronisation is available for multi-site dashboards and centralised reporting.
No. ScadaLogs AI is an intelligence layer it connects to your existing SCADA infrastructure and adds predictive and decision-support capabilities on top. Your existing systems, your existing operators, your existing workflows.
That is exactly why the platform was designed the way it is. ScadaLogs AI handles the data interpretation so your operators do not have to. A small team with ScadaLogs AI running alongside them is often better positioned than a large team drowning in manual monitoring.

Ready to Stop Reacting and Start Predicting?

The utilities that get ahead of failures, optimise their processes, and retain institutional knowledge just have better intelligence to work with.