Industrial IoT requires a flexible and scalable edge platform that is easy to use and deploy
Companies that invest in a flexible, scalable edge platform that is easy to deploy, can connect to any asset, collect and analyze data, as well as integrate data with cloud and big data applications for advanced analytics and machine learning will maximize the value and benefit of Industrial IoT. OT and IT teams trust Litmus to deliver the critical data they need to enable Industrial IoT and improve asset and process uptime, performance and quality.
All-in-one edge platform that is deployed at the data source
One platform to collect, normalize, analyze and take action on real-time data from any asset to meet business needs across the organization with one single solution. Connect to any asset with 250+ pre-loaded drivers and no programming, then perform ready analytics at the edge and send data to the cloud for further processing.
Pre-built analytics and real-time data visualizations
Bring immediate value to the OT team with instant analytics and pre-built dashboards and KPIs such as asset utilization, uptime/downtime and more. Analyze asset data, push it to the cloud, into data lakes, or to an enterprise application, then back to the asset for anywhere-to-anywhere data movement.
Accelerate 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.
Build on existing investments and enable dozens of use cases
Work with existing systems to protect previous investments such as SCADA or Historian. Tap into existing technology, add a layer of intelligence, and then act on the data for immediate results. With the data platform in place, enable any Industrial IoT use case such as OEE, asset condition monitoring, predictive maintenance or machine learning.
Integrate data with enterprise, cloud and big data applications
Make decisions based on a complete data picture. Analyze both real-time and historical data to improve processes and guide predictive maintenance. Easily send the data to third-party cloud, big data or enterprise applications for further processing. Satisfy the IT team with a clear path to OT data for enterprise-wide 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.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 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.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