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AI & Machine Learning

Advanced machine learning models that learn your network’s unique behavior, predict problems before they happen, and help you make smarter decisions about water operations.

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Traditional monitoring misses too much

Fixed thresholds and manual analysis generate false alarms while missing subtle problems. Every network is different, generic rules don’t work.

Too many false alarms

Rigid thresholds trigger alerts for normal variations. Your team wastes time investigating non-issues.

Slow problem detection

Manual analysis takes days or weeks. By the time you find leaks, thousands of liters are already lost.

Generic systems fail

One-size-fits-all rules don't account for your network's unique behavior patterns and local conditions.

Our AI learns your network

We train machine learning models on your specific network data. The AI learns what’s normal for your system and alerts you when something changes.

Data Collection

We analyze 3-6 months of your historical data, pressure, flow, consumption patterns.

Model Training

AI learns your network's normal behavior, daily cycles, seasonal changes, local patterns.

Live Monitoring

Models analyze live data continuously, comparing current vs. learned baseline behavior.

Smart Alerts

You get instant notifications when the AI detects anomalies, with location and likely cause.

Four specialized ML models

Each machine learning model solves a specific challenge in water network management.

Anomaly Detection

Identifies unusual patterns in pressure, flow, and consumption data that indicate leaks, bursts, or equipment failures.

Demand Forecasting

Predicts water consumption patterns hours to weeks ahead, accounting for weather, seasons, events, and historical trends.

Network Optimization

Tests thousands of operational scenarios to find the best pressure settings, pump schedules, and valve configurations.

Natural Language AI

Understands questions in plain language and explains complex network data in simple terms anyone can understand.

How we train AI on your network

Generic AI doesn’t work for water networks. We train models specifically on your utility’s data for maximum accuracy.

Foundation Training

Base models pre-trained on water network data from utilities worldwide. Gives AI general knowledge of how water systems work.

Your Network Training

Fine-tune models using 3-6 months of your historical data. AI learns your topology, pipe materials, seasonal patterns, consumption profiles.

Calibration Period

First 30-90 days, models run alongside existing systems. We review predictions, adjust thresholds, fine-tune based on real performance.

Continuous Learning

Models update automatically as your network evolves. Weekly retraining for fast patterns, monthly for seasonal baselines. Gets smarter over time.

Why network-specific AI matters

Every water network is unique. Generic AI gives generic results. Our approach delivers accuracy you can trust.

Learns Your Patterns

Every utility has unique characteristics, pipe materials, terrain, consumption cycles, climate impacts.

Example: AI learns that your Zone 3 always has lower pressure on Monday mornings, so it doesn’t falsely alert.

Your Data Stays Private

We don't pool data across clients. Your operational intelligence remains confidential and gives you competitive advantage.

Result: Performance improvements benefit only your utility, not your competitors.

Improves Over Time

The longer you use Flowless, the smarter it gets. Models adapt to infrastructure changes, consumption shifts, seasonal variations.

Data: Utilities using Flowless 2-3 years see 30-40% accuracy improvements vs. initial deployment.

ai for water leak detection

Integrated across Flowless solutions

This AI technology powers intelligent features in WaterCloud, Octopo, and Digital Twin.

WaterCloud

Analytics platform

  1. Automated leak detection
  2. Real-time anomaly alerts
  3. NRW trend forecasting
  4. Performance pattern analysis
Learn more

Octopo

AI assistant

  1. Natural language queries
  2. Plain-language explanations
  3. Context-aware responses
  4. Automated insight generation
Learn more

Digital Twin

Simulation platform

  1. Demand forecasting scenarios
  2. Optimization recommendations
  3. What-if analysis predictions
  4. Risk probability modeling
Learn more

If you’re wondering how AI fits into your network

These are the questions we hear most often from operators and engineers working in real networks.

Q. How is AI different from the alerts and thresholds we already use?

Traditional systems fire alerts based on fixed rules. AI learns what “normal” looks like for each zone and time period, so it flags only meaningful anomalies and cuts down false positives over time.

Q. Can AI actually help us reduce non-revenue water?

Yes. AI detects subtle pressure, flow, and demand patterns linked to hidden leaks and losses, often earlier than manual analysis or rule-based monitoring.

Q. How long does it take before the AI becomes useful?

You get value quickly, but accuracy improves as the system learns your network. As more data is observed, the AI adapts to seasonal demand, operational changes, and network behavior.

Q. Can we trust AI insights for operational decisions?

AI supports decisions, it doesn’t replace them. It surfaces risks, trends, and anomalies clearly, while engineers stay in control of validation and response.

See how this AI works for your network

Let's show you what to expect, accuracy rates, timeline, and projected results based on utilities like yours.

Request a demo