
Litmus Edge is deployed at the source to collect, standardize, and send real-time OT data across your entire enterprise. From edge to cloud, it powers contextualized, AI-ready data—without custom infrastructure—so you can act faster, optimize operations, and prevent disruptions before they happen.
Vendor
Litmus Automation
Company Website




Litmus Edge is the #1 Edge Data Platform designed to scale Industrial AI by connecting any asset, running analytics at the edge, and integrating data across enterprise systems. Deployed at thousands of industrial sites worldwide, Litmus Edge enables real-time operational technology (OT) data collection, transformation, and integration from edge to cloud. It empowers manufacturers to act faster, optimize operations, and prevent disruptions—without the need for custom infrastructure.
Features
- Data Connectivity: Universal plug-and-play support for legacy and modern equipment including Siemens, Rockwell, ABB, Fanuc, and more.
- Data Transformation: Converts raw OT data into normalized, contextualized formats usable across enterprise systems.
- Data Integration: Seamlessly sends normalized data to AWS, Azure, Snowflake, dashboards, data lakes, and other enterprise platforms.
- Edge Analytics: Analyzes machine data at the source to detect downtime, reduce scrap, and improve overall equipment effectiveness (OEE).
- Edge Applications: Supports deployment of containerized models and custom applications locally using Docker.
- Edge AI: Enables running AI and ML models directly at the edge to detect anomalies, trigger alerts, and enable closed-loop control.
- Edge Management: Centralized management of edge nodes, apps, and models with remote troubleshooting and update rollouts.
Benefits
- Rapid Deployment: Start streaming data in minutes with plug-and-play connectivity.
- Operational Efficiency: Detect issues early and optimize production with real-time analytics.
- Scalable Architecture: Manage from 5 lines to 50 sites with centralized control.
- AI-Ready Data: Prepare contextualized data for AI and ML without custom infrastructure.
- Cloud Integration: Scale analytics in the cloud 10x faster with built-in integrations.
- Flexibility & Control: Run applications and models locally for faster, more secure decision-making.