Enterprise Asset Management

Equipment
Monitoring

Learn the pros and cons of equipment monitoring methods

Protected by the elements

Our 24/7 alerting and monitoring solution helps maintain the integrity of your valuable materials, such as chemical reagents, biological materials, and even animals.

Always On

Your organization invests in assets to perform mission-critical functions aligned with your organization’s objectives. Whether you are monitoring assets that maintain the integrity of your environmentally sensitive materials or assets that perform essential functions, having a reliable, 24/7 IoT-connected platform helps you and your team efficiently monitor your valuable assets and receive real-time alerts when systems are at risk.

freezer monitoring, equipment monitoring, refrigerator monitoring

Equipment Monitoring

  • Refrigerators
  • Freezers
  • Ultra-Low temperature Freezers
  • Cryogenic Freezers
  • Incubators
  • Ovens

Facility Monitoring

  • Laboratories
  • Manufacturing floors
  • Vivariums
  • Greenhouses
  • Server Rooms
equipment monitoring, customized alerts, lab monitoring

Customized Alerts

 

Our robust rules engine allows you to customize alerts via SMS and/or email when your equipment or environment deviates from the norm, even during power outages. You can also automate your alerting workflow via escalating messaging so that the right people are notified at the right time.

Accessibility and Traceability

 
The cloud-based Elemental Machines Insights Dashboard gives you a bird’s-eye view of your entire fleet of assets. When alerts are triggered due to non-conformances, your Quality Team can directly comment and annotate their corrective actions within the system for audit-friendly reporting. Temperature monitoring and humidity monitoring ensure the safety of your valuable assets and processes.
 

 

Predictive Analytics

 

Through continuous high-resolution measurement of your instruments, the Elemental Machines AI-powered platform learns the health of your fleet over time. Our Analytics Engine uses advanced machine learning techniques to understand normal vs. abnormal asset behavior and the effects of the environment and utilization on maintenance needs.

predictive analytics, equipment monitoring, temperature monitoring

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