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Global Water Leakage Institute

Business Introduction​​
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Evidence-Based Leakage Science & Engineering for Resilient Water and Built Infrastructure

GWLI is an international research institute dedicated to reducing water losses and strengthening infrastructure resilience through rigorous science, field validation, and responsible data-driven innovation.
We connect field diagnostics, IoT sensing, and AI analytics to generate reliable evidence and translate it into deployable solutions—supporting utilities, municipalities, research communities, and industry partners worldwide.

Our AI approach prioritizes validation, explainability, and governance—ensuring trustworthy, decision-ready outputs in real operational environments.

 

Our Core Domains

  • Water network leakage (distribution systems, NRW reduction, pressure and flow analytics)

  • Building & facility leakage (plumbing, heating/cooling loops, fire protection systems, waterproofing interfaces)

  • Quantification & verification (defensible measurements, uncertainty, field protocols)

  • Monitoring & decision support (IoT architectures, anomaly detection, predictive risk scoring, explainable analytics)

  • Standards & capacity building (guidelines, training programs, and research collaboration)

  • AI for Leakage Intelligence (anomaly detection, event classification, prioritization, explainability, model governance)

SERVICES

GWLI provides end-to-end, evidence-based support across the full leakage lifecycle—detection, quantification, prioritization, mitigation, and prevention.We integrate field diagnostics, IoT sensing, and AI analytics (e.g., anomaly detection and predictive risk scoring) to deliver defensible results that can be validated in real operational environments.

​What we deliver

  • Field diagnostics and pilot validation (acoustic/pressure/flow/thermal/data-based methods)

  • Leakage quantification and intervention verification (with uncertainty and reproducible protocols)

  • Monitoring architecture design and operational alert/response workflows

  • NRW reduction strategy, DMA performance assessment, and decision support

  • Standards, guidelines, and professional training for practitioners and researchers

  • AI-assisted leakage analytics: anomaly detection, event classification, and risk prioritization (explainable, human-in-the-loop)

MISSION

GWLI’s mission is to solve leakage problems through evidence—not intuition.
We develop and disseminate reproducible methods, field-validated protocols, and transparent reporting frameworks that enable trustworthy decisions and measurable impact.

We promote responsible AI by prioritizing validation, explainability, and governance in operational deployments.

We aim to:

  • Reduce water losses and improve infrastructure resilience

  • Translate research outputs into deployable, real-world practices

  • Build globally transferable knowledge through collaboration and standards

TEAM

​GWLI is an interdisciplinary team spanning leakage engineering, water systems, sensing/IoT, analytics, and infrastructure operations.

We work under principles that protect credibility and maximize real-world impact:

  • Scientific integrity: transparent methods, documented assumptions, and clear limitations

  • Field validation: results must be reproducible under operational constraints

  • International collaboration: joint projects, co-authorship, and shared learning resources

  • Researcher-friendly culture: visiting researcher opportunities, seminars, and mentorship

  • Responsible AI: explainability, calibration, model monitoring, and data governance for trustworthy decisions

  • GWLI welcomes international graduate students, PhD researchers, and partners committed to rigorous, field-relevant research.

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