Passing The Litmus Test: Litmus Automation Secures Funding To Advance Industrial Data Contextualization And IT-OT Connectivity

On November 12, 2025, industrial edge data platform provider Litmus announced that it has secured additional funding from Insight Partners and Munich Re Ventures via HSB Fund II. This investment will advance Litmus’s goal of making industrial data accessible, contextualized and AI-analytics-ready for global manufacturing operations. It is aimed at accelerating Litmus’s mission of transforming fragmented OT data into contextualized, clean data to be used to deliver advanced insights across use cases such as asset failure prediction, production optimization and energy management. Litmus’s Edge platform connects directly to machines, systems and the cloud via more than 250 native out-of-the-box IT-OT connectors, serving as a data foundation for large-scale industrial operations. Collaboration with cloud providers AWS, Google Cloud, Microsoft Azure and Dell Technologies was recently supplemented with new partnerships with Databricks and Oracle Cloud, building a strong cloud backbone for Litmus’s edge-to-cloud ecosystem.

Over the past decade, Litmus has evolved into a core data layer for industrial manufacturers and firms operating multi-plant systems around the globe. With support for unified namespace (UNS) architecture via Litmus UNS, Litmus Edge collects, standardizes and sends real-time OT data across industrial enterprises, enabling data teams to ingest clean data into industrial AI analytics solutions. The 2025 Verdantix Green Quadrant on industrial data management solutions recognized Litmus as a Specialist in the space, finding that its Edge solutions are highly scalable and act as a reliable data broker, binding together SCADA systems, PLCs, historians and sensors.

The newly secured funding allows Litmus to double down on enhancing its capabilities on three key fronts: out-of-the-box AI agents for multiple use cases; deployment of scalable AI models optimizing data pipelines that cut down time-to-value; and making it easier for data engineers and operators to interact with Litmus systems through refined interfaces. For manufacturers looking to boost yield, optimize data pipelines and scale AI across global plant operations, Litmus is well-positioned to serve as the trusted backbone for industrial AI.

For more insights on use cases of industrial AI analytics, register for the upcoming Verdantix webinar: Mastering Predictive Maintenance: How To Align People, Process, Tech & Data.