PREVENTATIVE INTELLIGENCE FOR WATER NETWORKS
Advanced acoustic analytics that detect emerging failure risks early, enabling targeted intervention and extending asset life.
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We listen to the network
so action happens before failure.
Why this matters
​Pipes rarely fail without warning
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​Emerging cracks, leaks and structural changes can be heard before visible failure.
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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.​
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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.
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Our focus is not more data,
but actionable insight.
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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
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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.​
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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
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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.