CIO Bulletin

Litmus – The Enterprise-Grade Edge Data Platform for Industry 4.0

If your business involves manufacturing or other industrial processes, you should be ready for the revolution. The fourth industrial revolution, or Industry 4.0, is on its way. And its impact on the industry will be as profound as mechanization, mass production, or automation. Industry 4.0 is a blanket term describing a tsunami of technology advances and new business models that are transforming industrial processes. These advances, ranging from the Internet of Things (IoT) to cyber-physical systems, will break down silos, enable personalized manufacturing, and see robots taking on many human tasks. This will all benefit manufacturers. But deploying edge computing will be essential for Industry 4.0’s success. To make sure your Industry 4.0 stands the best chances of success, therefore, it is important to deploy edge computing as an enabling technology. IoT edge computing will help your business embrace real-time processing and smart data collection by triggering local actions with ultra-low latency.

Litmus is the only flexible and scalable edge platform that provides the critical data connectivity needed to monitor, visualize, analyze, and integrate industrial data at scale. Litmus connects to every data source to provide a complete data picture for Industry 4.0 use cases ranging from Smart Manufacturing to Industrial IoT and Machine Learning. Litmus unifies device connectivity, data intelligence and data integration in one platform trusted by Google Cloud, Dell Technologies, HPE, Hitachi, Mitsubishi and other Fortune 500 companies for enterprise-scale Industry 4.0.

Leveraging Robust Edge Data Platform Solutions

Litmus Edge: It unifies data collection, data analytics, application enablement and data integration in a complete Edge Data Platform purpose-built for Industry 4.0. Litmus Edge is the Edge Data Platform purpose-built for Industry 4.0. With instant connectivity to hundreds of OT assets, Litmus Edge makes it easy to harness the OT data needed to power insights at the edge and across the enterprise. From data collection and machine analytics to application enablement and data integration, Litmus is a complete Edge Data Platform platform that is rapid-to-deploy and easy-to-use, offering everything you need to improve operations at scale. With 250+ pre-built drivers, Litmus can connect to any machine or industrial system out-of-the-box. Collected data is structured and stored, and ready for use by edge and enterprise applications. With pre-built KPIs and an easy-to-use dashboard builder, customers can quickly create data visualizations and analytics for machine downtime, condition monitoring, OEE, and more.

Litmus for Smart Manufacturing: Litmus for Smart Manufacturing is the only Industrial IoT Edge platform that provides the critical data connectivity needed to monitor, visualize, analyze and optimize production lines at scale. Litmus connects to all data sources on the factory floor - PLC, SCADA, MES, Historian and Sensors – to provide a complete data picture to the people who need it to increase visibility, uptime, performance and quality. 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. 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. 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. 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. 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 Predictive Maintenance: Litmus for Predictive Maintenance is a flexible and scalable edge platform that connects to all assets and data sources - PLCs, DCS, SCADA, Historian and sensors – to understand the behavior that results in asset failure and improve how and when assets are maintained. By understanding the triggers that result in downtime, companies can anticipate, predict and prescribe action to keep ALL assets running as planned. With the average cost of unplanned downtime estimated at $100k per hour, manufacturing companies today require insight into the machine behavior that can take down operations without warning. Manufacturers looking to leverage real-time data for predictive maintenance need an edge platform that can automatically connect and collect data from ANY source, normalize and manage the data, perform analytics, and easily integrate with third-party applications and cloud computing platforms. 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.

Litmus for OEE: Litmus for OEE is the only flexible and scalable edge platform that provides the critical data connectivity needed to measure OEE and optimize asset performance. Litmus connects to all assets or data sources - PLC, SCADA, MES, Historian and ERP – to provide a complete data picture to the people who need it to improve manufacturing operations. 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. The 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. 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. 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: Machine learning starts with data connectivity at the edge and ends with improved operational efficiency, performance and quality. The Litmus Industrial IoT Edge platform enables companies to connect any asset or data source, feed machine learning models with ready-to-use data, and complete the feedback loop by running the new models at the asset for continuous optimization. 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 Leader Upfront

Vatsal Shah is a co-founder and the Chief Executive Officer of Litmus.