Applied intelligence

Intelligence,
grounded in engineering.

Explore where predictive models and connected data can support better water decisions.

Engineering workflows and research-led possibilities. Local validation is essential before operational use.
8 articles
Predictive analytics

Predict tomorrow’s demand

A practical path from time-series data to forecasts that support operational decisions.

Application guide · 4 min read
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Predictive analytics

Build a forecast you can trust

Design training, validation and monitoring around the realities of engineering data.

Application guide · 4 min read
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Networks

Find the signal in the network

Combine demand patterns, pressure observations and hydraulic context to investigate anomalies.

Application guide · 4 min read
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Digital systems

Connect the model to the system

Understand how GIS, telemetry and hydraulic models can support a living representation of a network.

Application guide · 4 min read
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Generative AI

An assistant with a traceable source

Use language models for retrieval, documentation and drafting while keeping engineering decisions accountable.

Application guide · 4 min read
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Networks

Search options. Preserve the physics.

Use optimisation to compare pump operation, network interventions and planning trade-offs.

Application guide · 4 min read
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Predictive analytics

Learn catchment behaviour from data

Explore where deep learning can assist inflow prediction and where physical interpretation still matters.

Application guide · 4 min read
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Computer vision

Turn inspection images into evidence

Use computer vision to screen asset imagery and support consistent condition assessment.

Application guide · 4 min read
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From data to decision

Intelligence needs
a foundation.

01Observe the system
02Build the representation
03Predict and compare
04Make an accountable decision
01 / 04

Observe the system

Bring flows, pressures and operating states together. Check timestamps, sensor quality and missing data.

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02 / 04

Build the representation

Connect observations to a calibrated model and reliable asset information. Keep physical constraints visible.

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03 / 04

Predict and compare

Test a forecast or compare a scenario. Report uncertainty and benchmark against a transparent baseline.

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04 / 04

Make an accountable decision

Put evidence in the hands of an engineer or operator. Record assumptions, decisions and observed outcomes.

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