Industrial OEM Platform ClearOps Raises €8.6 Million to Scale After-Sales Operations
ClearOps, an AI platform for industrial manufacturer after-sales operations, closed an €8.6 million Series A funding round led by Hitachi Ventures. Schoeller Group and Barkawi Group also participated in the round, marking the Munich-based company's first institutional capital raise.
The company connects manufacturers, dealers, service providers, and machines through a single operating system. Rather than replacing existing infrastructure, ClearOps aggregates service supply chain data to help predict demand, automate workflows, and improve execution across fragmented networks.
Measurable Impact on Service Operations
ClearOps currently supports thousands of dealers and millions of connected machines globally. Its customers include AGCO, Terex, Jungheinrich, and Lippert.
The platform has delivered concrete results for operations teams. Parts availability improved by up to 40% for customers. Parts sales increased between 5% and 15%, and repair times dropped by as much as two days.
Downtime in construction, agriculture, and logistics creates significant financial disruptions when supply chains fragment across manufacturers, dealers, and service partners. ClearOps addresses this by orchestrating data across these disconnected networks.
Funding Priorities
ClearOps will use the capital to expand globally, strengthen go-to-market operations, build ecosystem partnerships, and develop additional AI capabilities for industrial service networks. The company currently employs approximately 60 people across offices in Munich, Lisbon, Atlanta, and San José.
Pete Bastien, partner at Hitachi Ventures, said the industrial after-sales sector faces a fundamental shift. "Traditional approaches to service operations will no longer be sufficient" as machines become more connected and uptime expectations rise, he said.
Robert Kunze, managing director at Barkawi Technologies, called after-sales "one of the largest untapped opportunities in industrial businesses," noting that much of the industry still relies on fragmented systems and manual processes.
For operations professionals managing service networks, AI for Operations and AI Agents & Automation address similar challenges around workflow coordination and supply chain visibility.
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