Litmus has secured a new round of strategic investment led by Insight Partners, with additional participation from Munich Re Ventures, marking a significant step forward for the industrial data platform as it continues expanding its edge and AI capabilities.
The company said the funding will strengthen its mission to make operational technology data accessible, contextualized, and AI-ready across global manufacturing environments.
The funding arrives at a time when manufacturers are increasingly seeking to move past isolated AI pilot projects and toward repeatable, multi-site deployment. Litmus said the barrier to scaling AI rarely stems from the models themselves, but from the fragmented, inconsistent, and difficult-to-govern data that exists across plants, equipment, and control systems. The company’s platform was designed to address this complexity by standardizing OT data, integrating disparate systems, and facilitating data governance across all facilities.
Litmus noted that the new investment will allow the company to accelerate development in several core areas. First, the company will deepen support for AI at the edge, enabling real-time decision-making that improves yield, boosts performance, and reduces losses directly where operations occur.
The funding will also enhance the platform’s orchestration and pipeline capabilities, making AI deployment more scalable and manageable across multiple factories. Improvements to the user experience will make it easier for teams to explore, query, and act on the data stored within Litmus. The company will additionally strengthen its ecosystem of integrations with major technology providers, including Microsoft, Google Cloud, AWS, Dell, Oracle, and Databricks.
Litmus emphasized its commitment to supporting customer success through enhanced platform capabilities, stronger enablement for both customer and partner teams, and more robust support for multi-site AI scaling strategies. It continued to focus on reliability, security, and long-term performance.
The company stated that the investment will enable teams at every stage, from connecting the first production line to deploying AI across global manufacturing networks, to build a strong data foundation required to make industrial AI real, repeatable, and measurable.
