Continuous asset visibility

Edge IoT Reliability Monitoring

See developing VFD and motor problems earlier, investigate events faster and reduce the operational impact of unplanned downtime.

Discuss your application

Engineering approach

Built around the operating reality of your assets

JazLex combines local edge processing, industrial data acquisition and engineering-led interpretation to create actionable visibility around critical drive and motor assets.

Currently in field-trial deployment with a major heavy-industry operator in Alberta.

Early fault visibility

Track abnormal electrical and operating signatures before they become trips, failures or production losses.

Faster troubleshooting

Preserve the context around an event so maintenance teams can investigate with evidence instead of guesswork.

Local edge processing

Process critical information close to the equipment without depending on continuous cloud connectivity.

Engineering-led interpretation

Turn raw drive and motor data into practical reliability actions for plant teams.

Typical scope

What an engagement can include

  • Asset and communication architecture review
  • Edge gateway and data acquisition design
  • Live health, status and diagnostic views
  • Alarm, event and trend configuration
  • Deployment validation and knowledge transfer

Operational outcomes

Designed to improve reliability decisions, not generate more data.

  • +Earlier intervention on developing issues
  • +Shorter time to diagnose failures
  • +Improved maintenance prioritization
  • +Reduced dependence on reactive site visits

Engineering. Technology. Reliability.

Your partner in industrial asset reliability.

Tell us about your equipment, operating context and reliability challenge.

Engineering-led Heavy-industry focus Edge-ready architecture
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