Leverage Real-Time Data to Improve uptime, performance and quality scores

With the average cost of unplanned downtime estimated at $100k per hour, Smart Manufacturing is no longer optional. Industry 4.0 companies require insight into the behavior that can take down operations without warning and as a result many are focusing on improving OEE. Our edge platform collects and analyzes the asset data needed to dramatically simplify the calculation of OEE with out-of-the-box KPIs. OT and IT teams trust Litmus to deliver the critical data they need to improve manufacturing uptime, performance and quality scores.

  • ONE PLATFORM TO COLLECT AND MANAGE DATA FROM ALL INDUSTRIAL ASSETS

    Litmus delivers unmatched time-to-value by connecting to any PLC, SCADA, MES, Historian or ERP in just minutes. Our industry-leading, 250+ pre-loaded driver library connects and collects data out-of-the-box with no programming required to calculate OEE immediately. Collect and normalize hundreds of custom data points from any number of assets or facilities with one platform.

  • OUT-OF-THE-BOX DATA MONITORING, ANALYTICS AND VISUALIZATIONS

    Litmus offers pre-built and ready-to-use KPIs including OEE, asset utilization, uptime, downtime, anomaly detection and more. Ready analytics based on common manufacturing KPIs dramatically reduce manual setup and configuration time for impressive time-to-value. Monitor real-time asset data, set up alerts and take action as needed to improve OEE.

  • INTEGRATE DATA INTO BIG DATA AND CLOUD SYSTEMS FOR ADVANCED ANALYTICS AND MACHINE LEARNING

    Normalized data is immediately made available to both OT and IT systems via edge-to-cloud enterprise integration. Use the data collected to deploy machine learning models and advanced analytics that lead to higher quality products while maintaining operational efficiency. Run intelligent models and apply them back to edge devices to improve OEE and other processes.

THE EDGE PLATFORM FOR INDUSTRY 4.0

Our flexible and scalable edge platform is built for any Industry 4.0 initiative or use case – from smart manufacturing and Industrial IoT to predictive maintenance and machine learning. Litmus provides the data collection, analytics, management and OT-IT integration necessary to increase asset visibility, performance and uptime at scale.

  • Predictive Maintenance

    Litmus for Predictive Maintenance provides the asset data collection, analytics and machine learning needed to reduce unplanned downtime and increase the efficiency of maintenance activities.

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  • Asset Condition Monitoring

    Litmus for Asset Condition Monitoring helps companies collect, analyze, manage and integrate asset data to take the guesswork out of asset condition and fully exploit equipment investment.

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  • Machine Learning

    Litmus for Machine Learning allows companies to feed machine learning models with valuable, normalized data, and complete the feedback loop by running the new models at the edge for continuous optimization.

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  • Edge Computing

    Litmus for Edge Computing is purpose-built to connect to any industrial asset or data source, analyze and visualize data at the edge, and quickly and easily share valuable edge data with enterprise systems.

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  • Industrial IoT

    Litmus for IIoT allows manufacturers to connect to any asset, collect and analyze data, integrate with cloud and big data applications for advanced analytics, then run the models back at the edge for continuous improvement.

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  • Smart Manufacturing

    Litmus for Smart Manufacturing is an all-in-one edge platform deployed next to the assets to collect, analyze, manage and integrate real-time data from the factory floor to meet business needs across the organization.

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