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The World’s First Complete Edge Computing Platform For Industrial IoT.

Seamlessly connect nearly all industrial devices and systems, liberating processing and integrating the data from the factory floor into cloud or on-premise enterprise systems.

LoopEdge lets you run applications locally at the edge for quick and effective processing, so you don't bombard your cloud infrastructure with unnecessary data.

With a proper management UI, LoopEdge enables seamless connectivity to nearly all legacy devices and industrial protocols. Data can be pre-processed, filtered and analyzed at the Edge before sending the data to the Cloud. In addition, LoopEdge provides several key functionalities that are necessary for any IIoT deployment.

Legacy device support based on industrial drivers

Security monitoring for access and threat detection

Datahub for aggregating device data and storing locally

Efficient application deployment from our public or private marketplace

Process, Analyze and filter data with a codeless, flow-based configuration UI

Native cloud connectivity to Loop and other 3rd party platforms

  • Litmus Automation
    Litmus Automation bridges the gap between data in the field or factory and business applications for companies looking to implement Industrial Internet of Things (IIoT) solutions. Litmus Automation's offerings, LoopEdge and Loop, work seamlessly together to allow companies to access and exploit data previously trapped inside enterprise hardware, no matter where or when it was deployed. Working with original equipment manufacturers and other industrial companies, Litmus Automation's proven IIoT solutions offer data and device management so companies can optimize both how they run their business and how their customers' businesses operate. The team brings hardcore industrial expertise, a modern development approach, a nimble business model, and a proven IIoT solution for all their engagements. Litmus Automation customers include Nissan, Renault and Kyra Solutions, while partners like HPE, Intel and Dell expand the company's path to market. For more information about Litmus Automation, go to
  • Embedded Operating System
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  • Application Industries
  • Equipment & Machinery
  • Application Functions
  • Maintenance
  • Predictive Maintenance
    Predictive maintenance is a technique that uses condition-monitoring sensors and machine learning or rules based algorithms to track the performance of equipment during normal operation and detect possible defects before they result in failure. Predictive maintenance enables the reduction of both schedule-based maintenance and unplanned reactive maintenance by triggering maintenance calls based on the actual status of the equipment. IoT relies on predictive maintenance sensors to capture information, make sense of it, and identify any areas that need attention. Some examples of using predictive maintenance and predictive maintenance sensors include vibration analysis, oil analysis, thermal imaging, and equipment observation. Visit our condition-based maintenance page to learn more about these methods.
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