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Case study

MachinaWatch

AI that predicts machine failures before they stop production

A manufacturer running CNC, conveyor, and packaging lines

Timeline
12 weeks
MachinaWatch AI predictive maintenance overview from sensor data to risk assessment and maintenance action

The story

From the problem to a system that works

  1. 01

    What the client wanted

    Detect equipment problems early and plan maintenance before a breakdown stops a line.

  2. 02

    The challenge

    Machines failed without warning. Each unplanned stop cost hours of production, and maintenance was either too late or done on parts that were still fine.

  3. 03

    What we built

    We built MachinaWatch, which collects vibration, temperature, and other sensor data, uses AI models to predict failures, and turns each risk into a recommended maintenance action and work order.

Delivered

What MachinaWatch includes

  • Sensor data collection from every machine
  • AI failure prediction
  • Risk scoring and maintenance recommendations
  • Automatic work orders
  • Equipment health dashboard

Built with

Timeline: 12 weeks from kickoff to launch.

MachinaWatch equipment monitoring dashboard with machine health, sensor trends, alerts, and upcoming maintenance

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