PREVENTATIVE INTELLIGENCE FOR WATER NETWORKS
Advanced acoustic analytics that detect emerging failure risks early, enabling targeted intervention and extending asset life.
We listen to the network
so action happens before failure.
Why this matters
Pipes rarely fail without warning
Emerging cracks, leaks and structural changes can be heard before visible failure.
In ageing, complex networks, reactive maintenance is costly and disruptive. Blanket intervention is no longer viable.
Precision is.
Pipe burst in the Adelaide CBD
What we do
Leak before break, made operational
Adelitics translates acoustic and fibre sensing data into prioritised, decision-ready insights using AI developed specifically for water networks.
This supports:
Early identification
of emerging failure risk
Reduced false alarms in noisy operational environments
Prioritised field investigation
Improved capital and maintenance planning
The analytical framework integrates with acoustic sensors, distributed fibre-optic sensing, and hybrid monitoring systems.
Where sensing is already in place, we analyse existing data: no new hardware required.
Our focus is not more data,
but actionable insight.
Designed for asset life extension
By intervening earlier and more precisely, utilities and service providers can:
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extend the life of existing assets
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reduce material-intensive replacements
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avoid unnecessary excavation and disruption
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lower embodied carbon and operational emissions
Extending asset life reduces material intensity, carbon impact and operational disruption, supporting circular economy outcomes in water infrastructure.
Proven foundations
Adelitics is currently supporting water networks across four continents.
Our approach is grounded in more than a decade of peer-reviewed research and utility collaboration, and has moved well beyond proof of concept into real operational deployment.
These methods reflect long-term, domain-specific AI development for water infrastructure — not generic off-the-shelf analytics.
Peer-reviewed studies in live smart water networks and transmission pipelines have demonstrated:
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Detection of emerging through-wall cracks and leak signatures prior to escalation
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>90% anomaly classification accuracy using convolutional neural network models across 1,000 acoustic files from 34 accelerometers (including 32 confirmed leak events)
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Localisation of emerging defects within approximately 1% of pipeline length across kilometre-scale sections
How we deploy
Adelitics supports utilities and their service providers through flexible delivery models:
(DaaS)
Data as a Service
Ongoing analysis of permanent monitoring data with prioritised outputs.
Turnkey delivery
End-to-end deployment: sensing (where required), analytics, integration and operational workflows.
Advisory
Targeted, bespoke support to embed preventative approaches in existing asset management programs.