الصناعة· INDUSTRIAL · PREDICTIVE MAINTENANCE

Nabdنبض

Hear the machine before it breaks — failures forecast from vibration, temperature, and operational data, weeks out.

A predictive maintenance platform that continuously scores every piece of rotating and critical equipment for failure risk, using vibration, temperature, and operational signals to turn unplanned downtime into a scheduled work order.

من يسمع نبض الآلة، لا يفاجئه توقفها

“Whoever hears the machine’s pulse is never surprised by its stopping.”

What Nabd does

Continuous equipment risk scoring

Every monitored asset carries a live failure-probability score, not a static maintenance schedule based on calendar time.

Multi-signal anomaly detection

Vibration, temperature, current, and pressure signals are fused into one model, catching failure modes a single sensor would miss.

Time-to-failure forecasting

High-risk assets carry an estimated window to failure, giving maintenance teams days — sometimes weeks — of lead time.

Work-order integration

A confirmed risk converts directly into a maintenance work order with the relevant sensor evidence attached, not a cold ticket.

Site and fleet-wide ranking

Assets across every plant are ranked side by side, so maintenance budget goes to the equipment that actually needs it first.

Continuously retrained models

Prediction models retrain on confirmed outcomes, improving accuracy plant by plant rather than staying fixed at deployment.

See Nabd in action

An early UX walkthrough of the product, designed bilingually from day one.

1Fleet health dashboard screen — neuriya Nabd

Fleet health dashboard

2Equipment risk ranking screen — neuriya Nabd

Equipment risk ranking

3Failure prediction report screen — neuriya Nabd

Failure prediction report

How it works

01

Connect

Existing vibration, temperature, and operational sensors are connected — no forced hardware replacement.

02

Monitor

Every asset is scored continuously against its own operating baseline, not a generic industry threshold.

03

Predict

Anomalies that indicate developing failure are surfaced with an estimated time-to-failure window.

04

Act

Maintenance teams schedule work before failure, closing the loop between prediction and action.

IEC 62443PDPLNDMO ClassificationISO 27001

Forecast the failure, don’t discover it

We're selecting design-partner plants and operators for the first pilot cohort. Book a briefing to review your equipment fleet and sensor coverage.

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