Edge-to-Cloud Industrial Data for AWS

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

• 250+ native industrial drivers
• Fast device and tag discovery
• Consistent data foundation for AWS IoT SiteWise and AWS IoT Core

Turn raw signals into structured operational data before sending it to AWS.

• Normalize tags, units, and timestamps
• Add asset, line, machine, and process context
• Prepare data for AWS IoT SiteWise asset models, analytics, and AI

Move structured industrial data from Litmus Edge into AWS IoT SiteWise for monitoring, modeling, and analysis.

• Support asset models, measurements, and hierarchies
• Align with AWS IoT Greengrass for on-premise edge deployment patterns
• Simplify plant-to-cloud deployment

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 AWS use case

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 AWS-connected sites. 

• Repeatable deployment patterns
• Centralized configuration, updates, and workloads
• Visibility into data flows, application status, and deployment health

Control how industrial data moves into AWS, 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 AWS and how it is consumed