A Water Main Break Triggered a City-Wide Crisis. The Emergency for A Robust Predictive Maintenance Strategy.

Earlier this month, while most of Paterson, New Jersey slept, a 30-inch pipe more than a century old decided its time was up. It was a catastrophic failure that unleashed a torrent of chaos and exposed a terrifyingly fragile system.

For the next 72 hours, a modern American city ran on bottled water and emergency tankers.

Just on the weekend, the city faced another massive water main break.

| Our standpoint: Incidents like this can be avoided. Prevention is better than cure.

Emergency impacts are severe and immediate:

• Mass Disruption: A boil water advisory was mandated for approximately 200,000 residents across four municipalities, paralyzing daily life for almost a week.
• Economic Halt: The County Health Department ordered the shutdown of all food-service businesses in the affected area. For hundreds of restaurants, cafes, and bars, revenue stopped.
• Systemic Failure: The repair of the 140-year-old pipe was severely hampered by a critical lack of reliable data. As officials stated, they lacked "good, reliable drawings of what's in the ground," turning a difficult repair into a multi-day crisis of excavation and uncertainty.

The authorities in New Jersey are now spending millions to fix a problem they knew existed. This is reactive management. It's expensive, chaotic, and damaging to public trust.

The Mandate for Robust Forecasting Intelligence

| It is no longer enough to forecast if an asset might fail. Forward-thinking organizations are already moving beyond that.

Our customers, major infrastructure operators, are deploying robust physics-informed forecasting intelligence.

We enable asset managers and executives to determine the optimal intervention strategy, balancing capital expenditure, operational impact, and regulatory compliance.

KartaSoft technology transforms capital planning from an annual budget-guessing game into a precise, data-driven science.

We allow leaders to move from asking "What's at risk?" to confidently answering "What is our optimal position?".

The leaders who will dominate in the next decade are those who make this shift now.

The question is no longer if you will adopt a predictive and prescriptive operational model, but whether you will do it by choice or be forced to do it by your next catastrophic, and entirely predictable, failure.

Which path is your organization on? We welcome a chat.

KartaSoft

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