Deliver Industrial Data from Edge to Azure for AI

Connect PLCs, SCADA, historians, sensors, and machines—and prepare their data for Azure.

• 250+ native industrial drivers
• Fast device and tag discovery
• Consistent data foundation for Azure IoT Operations and downstream services

Turn raw signals into structured, schema-aware data before sending it to Azure.

• Normalize tags, units, timestamps, and data types
• Add asset, line, machine, and process context
• Prepare data for analytics, dashboards, and AI workflows in Microsoft Fabric and Azure AI

Move industrial data, schemas, and metadata from Litmus Edge into Azure using built-in integration patterns.

Bridge edge data into Azure IoT Operations
Support device, schema, and metadata visibility
Enable structured data movement across Azure services without custom pipelines

Deliver governed OT data into Azure services across your architecture without rebuilding custom pipelines.

• Stream structured data through Azure IoT Operations
• Use Event Hubs for data movement across Azure services
• Support Microsoft Fabric for real-time analytics and dashboards

Run logic close to machines for faster response and lower cloud dependency.

• Filter, enrich, and transform data locally
• Run KPIs, alerts, thresholds, and event logic
• Route only the data needed for each Azure use case

Deploy and manage industrial data operations across multiple Azure-connected sites. 

• Support Azure-aligned edge and hybrid architectures
• Repeatable deployment patterns across sites
• Standardize configurations, updates, and workloads

Control how industrial data moves into Azure, making trusted data accessible to OT, IT, data, and AI teams.

• Role-based access control
• Encryption in transit and at rest
• Govern which data flows to Azure and how it is consumed