The Challenge

Equipment failure is the most expensive problem in manufacturing.

• Unplanned downtime costs thousands of dollars per hour.
• Urgent repair parts are expensive and hard to source.
• Routine maintenance is wasteful: you're replacing parts that are still good, just because the calendar says so.
• Your maintenance team is always reacting to fires instead of preventing them.

The Solution

We implement Predictive Maintenance Systems that give your machines a voice. Using simple IoT sensors and Machine Learning, we analyze vibration, temperature, and sound to detect the subtle signs of wear before a failure occurs.

Key Capabilities

1. Sensor Integration: Retrofit existing machinery with non-intrusive sensors to collect health data.
2. Anomaly Detection: Our ML models learn what "normal" looks like for your specific equipment and flag the slightest deviation.
3. Smart Alerting: Maintenance leads get an SMS or email days or weeks before a breakdown is likely, allowing for scheduled repairs.
4. Health Dashboard: See the real-time status of every machine on your factory floor in one view.

The Value

• Uptime: Reduce unplanned downtime by up to 75%.
• Savings: Lower maintenance costs by 20% by switching from schedule-based to condition-based maintenance.
• Longevity: Extend the lifespan of your expensive assets by running them optimally.
• Safety: Prevent catastrophic failures that put workers at risk.