collect and analyze data from all edge assets to keep operations running as planned
Industry 4.0 companies with operations at the edge need a way to monitor and analyze the performance and condition of all assets. Our edge platform is purpose-built to solve the complex challenge of connecting to any industrial asset or data source, collecting and analyzing asset data at the source, and sharing valuable edge data with enterprise systems. OT and IT teams trust Litmus to deliver the critical data they need to enable edge computing to improve asset and process uptime, performance and quality.
All-in-on edge platform connects to any data source
One platform to collect, analyze, manage and integrate industrial asset data to meet business needs across the organization with one single solution. Connect to any PLC, DCS, SCADA, Historian or sensor with no programming, then process and normalize the data automatically.
Analyze and visualize real-time data at the edge
Move past paper and spreadsheets to get an accurate, complete data picture with real-time analytics and visualizations. Bring immediate value to the OT team with instant edge analytics and pre-built dashboards and KPIs such as asset utilization, uptime/downtime, OEE and more.
Centralized management of edge devices
Make sure the entire project runs smoothly and can scale across multiple facilities with ease. Manage the lifecycle of edge computing deployments from bootstrap to replacement with secure mass deployment, over-the-air updates and automated actions from a single point of control.
Integrate data to third party apps and run models at the edge
Easily send the data to third-party cloud, big data or enterprise applications for further processing. Satisfy both the OT and IT team to make decisions based on a complete data picture that includes every asset. Develop predictive maintenance and machine learning models and then run them back at the edge for continuous improvement.
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.
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.
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.
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.
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.
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.
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.