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Good practice Imported

Mekorot's IXDen AI Platform — Israel's National Water Company Predicts Infrastructure Failures Up to 60 Days Ahead

Israel · Tel Aviv · See the Israel profile · See the Tel Aviv profile

Evidence: Descriptive / self-reported Top 47% 60/100 · Ask Evidence Copilot about this practice

Israel's state-owned Mekorot uses an AI anomaly-detection platform with IXDen to monitor thousands of water sites, process ~300 million sensor readings daily, and flag failures and cyber threats weeks in advance — though cost-savings estimates are vendor-reported, not audited.

300 million
Sensor readings processed daily (by Dec 2023)
70
Sites in the initial rollout (2022)
~3,000
Sites covered nationally
up to 60 days
Advance warning window for equipment failure or sensor drift
Mekorot's IXDen AI Platform — Israel's National Water Company Predicts Infrastructure Failures Up to 60 Days Ahead

Details

Maturity
Established
Promoter
Mekorot Water Company Ltd. (with IXDen)
Period
2022-2025
Keywords
water utilities, critical infrastructure, predictive maintenance, cybersecurity

Context

Mekorot is Israel's national, state-owned water company, supplying the large majority of the country's drinking water through a network covering roughly 3,000 sites across 10 regions, including some 700 pumping stations and 20 desalination facilities. Since 2022 Mekorot has worked with the Israeli startup IXDen to deploy an AI-based anomaly-detection and predictive-maintenance platform.

Activities

By December 2023 the system had expanded from an initial rollout of about 70 sites to feed roughly 300 million sensor readings a day into a single monitoring dashboard, with plans to cover thousands of sites nationwide. In March 2025 Mekorot opened a National Water Control Center consolidating previously separate regional control rooms into one 24/7 hub using the same technology to detect faults and trigger backup systems automatically.

Results

IXDen has reported detecting equipment failures and sensor drift up to 60 days before they would otherwise surface, and potential cyber-related sensor tampering roughly a week in advance. The company has also estimated that the platform will help Mekorot save 'millions of dollars' a year.

Conclusions

These savings and detection figures come from the vendor rather than an independently published audit, and Mekorot has not released external verification of savings or detection accuracy. Detailed technical documentation of the AI models is not public, typical for critical national infrastructure but limiting outside scrutiny of alerting logic and false-positive handling.

Implementation

Indicative cost
High (€500k–€5M) — Multi-year vendor partnership (IXDen) plus capital investment in a new National Water Control Center opened March 2025; no public cost figures disclosed.
Time to results
Long (> 3 years) — Piloted at about 70 sites in 2022, scaled to around 300 million daily readings by December 2023, consolidated into a national 24/7 control center by March 2025.
Staffing & skills
IXDen (AI vendor), Mekorot National Water Control Center staff (24/7 hub, opened March 2025)

Conditions for success

  • Sensor instrumentation across pumping stations and desalination facilities
  • Central monitoring dashboard aggregating around 300 million daily readings
  • Vendor partnership for anomaly-detection model development

Common failure modes

  • Vendor-reported savings and accuracy figures are not independently audited
  • Underlying AI models and false-positive handling are not publicly documented

Where it fits

Governance type
state-owned national utility
Scale
national
Income level
high-income

Commonly funded by

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Data sources

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