ClearOps Raises €8.6 Million Series A To Build The AI Operating System For OEM After Sales

The round was led by Hitachi Ventures, with participation from Schoeller Group and Barkawi Group, marking the company’s first institutional investment.

Founded in 2020, ClearOps develops an AI operating system that connects industrial OEMs, dealers, service partners, and machines through a single platform.

The solution helps improve parts planning, predictive service operations, and real-time coordination across global service networks.

By replacing fragmented workflows with connected, data-driven processes, ClearOps aims to increase machine uptime, strengthen customer relationships, boost parts sales and improve operational efficiency throughout the service supply chain.

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The platform integrates with existing systems and enables manufacturers and dealers to better predict demand while automating service and parts operations. ClearOps works with industrial companies including AGCO, Terex, Jungheinrich, and Lippert.

The new funding will support international expansion, ecosystem partnerships, go-to-market growth, and continued investment in AI capabilities. Headquartered in Munich, the company also operates in Lisbon, Atlanta, and San José with a global team of around 60 employees.

William Barkawi, founder and CEO of ClearOps, said, “Industrial service networks are under increasing pressure. Machines are becoming more connected, customer expectations around uptime continue to rise, and global disruptions have exposed the limits of today’s fragmented after-sales systems. We believe the future belongs to manufacturers and dealer networks that can predict, coordinate, and execute in real time.

“Our vision is bold: keep the world’s machines moving by building the AI operating system for after-sales – ensuring the right parts and services are available before downtime happens.”

About ClearOps

ClearOps is an AI-powered aftersales intelligence platform for the mobile machinery industry. It helps OEMs and dealers improve machine uptime, optimize service operations, and increase aftersales performance through smarter data, predictive insights and better coordination across service and support networks.