Litmus streamlines edge-to-cloud industrial operations
Litmus, a leading Industrial Data Operations provider based in Germany, formed a strategic partnership with Microsoft to deliver a seamless edge-to-cloud solution for industrial companies. The integration leverages Litmus Edge with Microsoft Azure IoT Operations, enabling real-time data collection, contextualization, and processing directly from industrial edge devices. Azure IoT Operations, complemented by Azure Arc and Entra ID, provides adaptive cloud management, device discoverability, observability, and secure, scalable data orchestration. The Akri Litmus Connector facilitates connectivity and automatic discovery, streamlining edge-to-cloud deployments and simplifying industrial device management. This solution empowers industrial customers to scale AI-driven applications like predictive maintenance and quality control with rapid data acquisition and analysis. By unifying data pipelines, companies gain real-time operational visibility and can efficiently deploy AI models for improved production efficiency.
- Organization
- Litmus
- Industry
- Manufacturing
- Location
- Germany
- Published
- March 2025
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Litmus
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- litmus.io
By unifying data pipelines, companies gain real-time operational visibility and can efficiently deploy AI models for improved production efficiency
Primary read
Use case focus
Showing 3 of 4
- 1Edge-to-Cloud Industrial Data Orchestration
- 2AI-Driven Predictive Maintenance
- 3Automated Quality Control with Real-Time Data
- Industrial companies face siloed edge device data hindering AI adoption.
- Difficulty in contextualizing and processing industrial data from diverse sources in real time.
- Manual integration of edge and cloud increases costs and complexity.
- Need for improved device security and scalable management across locations.
- Operational inefficiency due to lack of unified data flow and real-time insights.
- Integrated Litmus Edge with Azure IoT Operations for unified data management.
- Enabled adaptive edge/cloud deployments via Azure Arc, ARM, Entra ID, and Kubernetes integration.
- Deployed Akri Litmus Connector for automatic device discovery and seamless edge-to-cloud data connectivity.
- Provided zero-code integration with a variety of industrial protocols for rapid data acquisition.
- Real-time processing pipelines now support direct connection to Azure AI and analytics services.
- Accelerated AI deployment in industrial environments.
- Simplified edge device data management and lower total cost of ownership.
- Significantly improved production efficiency and reduced equipment downtime.
- Secured, scalable operations across multiple industrial locations.
- Enhanced insight-driven decision-making through real-time analytics.
Architecture
The solution integrates Litmus Edge with Azure IoT Operations via the Akri Litmus Connector, providing real-time data collection and contextualization at the edge. Device management and security operate through Azure Arc and Entra ID. Pre-built, zero-code connectors support varied industrial protocols. Data flows securely from edge devices into Azure for AI-driven analysis and application deployment. Kubernetes orchestrates, and ARM automates deployments across cloud and edge environments.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
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