A flexible and secure Industrial IoT Edge platform for smart manufacturing
The Litmus Industrial IoT Edge platform is purpose-built to solve the complex challenge of connecting to any data source on the factory floor, collecting and analyzing real-time data and integrating with IT systems. Litmus provides a way to centrally manage and orchestrate all devices, data and applications across all factories. OT and IT teams trust Litmus to deliver the critical data they need to enable smart manufacturing and improve operations.
All-in-one IIoT Edge platform deployed next to the assets on the factory floor
One platform to collect, analyze, manage and integrate real-time data from the factory floor to meet business needs across the organization. Connect to any PLC, CNC, sensor, robotic system, or SCADA/MES/Historian with 250+ pre-loaded drivers and no programming, then collect, process and normalize the data automatically.
Visualize real-time and historical data with pre-built analytics and KPIs
Bring immediate value to the OT team with instant analytics and pre-built dashboards and KPIs such as asset utilization, uptime/downtime, OEE and more. Analyze data on the factory floor, push it to the cloud, into data lakes, or to an enterprise application, then back to the factory floor for anywhere-to-anywhere data movement.
Spend less time on development with docker-powered apps and centralized management
Enable one-click application orchestration and deploy docker container-based applications from a public or private application marketplace. Make sure the entire project runs smoothly and can scale across multiple facilities with a single point of control to manage the lifecycle of edge computing devices from bootstrap to replacement.
Enable dozens of use cases and integrate data to third party apps
Tap into existing technology, add a layer of intelligence, and then analyze, manage and integrate the data for immediate results. Enable any use case from OEE to asset condition monitoring to predictive maintenance. Derive value locally, and then easily send the data to third-party cloud, big data or enterprise applications for further processing.
The Litmus Industrial IoT Edge Platform
Our flexible and scalable Industrial IoT Edge platform is built for any Industry 4.0 initiative or use case – from OEE and asset condition monitoring to predictive maintenance and machine learning. Litmus provides the device connectivity, edge analytics, application deployment, and data integration necessary for complete edge-to-cloud data flow at scale.
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.Read More
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.Read More
Litmus for OEE harnesses the critical data buried with assets at the edge to dramatically simplify the calculation of Overall Equipment Effectiveness and optimize throughput, increase quality and improve performance.Read More
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.Read More
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.Read More
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.Read More
Get Started With Litmus
Working with Litmus is fast and easy, we can help any industrial company derive value from the edge immediately for improved operational efficiency. Contact us to start your digital transformation today.