Limble, VibeCloud Close Common Gap in Predictive Maintenance

The solution automatically generates and closes work orders based on asset condition data.

Limble + Vibe Cloud
Limble

Software developer Limble announced a partnership with machinery maintenance company VibeCloud Reliability Solutions Inc. that aims to automatically generate and close work orders based on asset condition data.

The companies expect the development to close a common gap in predictive maintenance, where monitoring systems flag potential failures but still require manual work orders.

“Predictive maintenance only delivers when data drives action,” Limble VP of Partnerships & Ecosystem Strategy Susan Burris said. “Connecting VibeCloud’s diagnostic expertise with Limble’s maintenance workflows removes manual steps and ensures the right work gets done.”

VibeCloud’s predictive maintenance platform now connects directly with Limble, allowing teams to move from detection to action without manual handoffs. Condition alerts from analysis, such as vibration, ultrasound and motor circuit, automatically generate work orders in Limble. Once the issue is resolved and asset conditions return to normal, work orders can close automatically.

The integration also ensures the capture of maintenance activity data. Over time, that data helps teams track asset performance, strengthen reliability programs and make better asset management decisions.

Key benefits:

  • Automatic work order creation in Limble from condition-based alerts
  • Faster response to emerging equipment issues
  • Reduced manual data entry and transcription errors
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