Machine learning requires ready-to-use data, collected from all industrial assets and data sources
The biggest challenge Industry 4.0 companies face is access to the data they need to fuel machine learning and analytics models. Our edge platform is purpose-built to solve the complex challenge of connecting to any industrial asset or data source, and integrating data with enterprise, cloud and big data systems. OT and IT teams trust Litmus to deliver the critical data they need to enable machine learning to improve asset and process uptime, performance and quality.
ONE PLATFORM TO COLLECT, PROCESS AND INTEGRATE DATA FROM ALL INDUSTRIAL ASSETS
Litmus delivers unmatched time-to-value by connecting to any PLC, DCS, SCADA, Historian or sensor in just minutes. Our industry-leading, 250+ pre-loaded driver library connects and collects data out-of-the-box with no programming required. Litmus cleans and normalizes the data into one standard format for immediate consumption by third party machine learning applications.
INTEGRATE ‘READY-TO-USE’ DATA WITH ANY CLOUD OR BIG DATA CLOUD SYSTEM
Normalized data is immediately made available to both OT and IT systems. Litmus provides pre-built, easy to configure connectors to Cloudera, Azure, Oden and others for rapid deployment. Use the critical and accurate asset data collected and normalized to deploy advanced analytics and machine learning models that lead to increased operational efficiency.
DEPLOY AND RUN MACHINE LEARNING MODELS AT THE EDGE
Litmus completes the continuous improvement loop by pushing machine learning models back to industrial assets at the edge, enabling true anywhere-to-anywhere data flow. Run machine learning models at the asset to deliver corrective actions in real-time.
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.