CloudNC Raises €17.2M to Automate CNC Machining with AI, Backed by Lockheed Martin
TREE NEWS reports: London-based AI precision machining software startup CloudNC has closed a €17.2 million (approximately $20 million) funding round, led by US venture capital firm Nimble Ventures, with participation from Calculus Venture Capital, Entrepreneur First, and Lockheed Martin’s corporate venture arm, LM Ventures. The investment underscores a growing trend of AI-driven automation in advanced manufacturing, a sector increasingly intertwined with defense and aerospace supply chains.
What CloudNC Does
CloudNC develops software that autonomously generates CNC (computer numerical control) machining toolpaths, a traditionally labor-intensive and highly skilled process. The company’s AI-driven CAM (computer-aided manufacturing) technology aims to reduce programming time from hours to minutes, enabling manufacturers to increase throughput and lower costs. Its flagship product, CAM Assist, is used by machine shops across industries, including aerospace, medical, and automotive.
Strategic Implications
The participation of Lockheed Martin’s venture fund is particularly notable. Aerospace and defense manufacturers face chronic shortages of skilled CNC programmers and growing pressure to shorten production cycles for complex components. CloudNC’s software addresses these bottlenecks by automating programming tasks, making it a strategic fit for defense supply chains. This investment signals that AI in manufacturing is moving beyond buzzwords into mission-critical applications.
From a broader perspective, the round reflects sustained investor appetite for AI-enabled industrial software, a segment that has seen robust funding despite a general slowdown in tech venture capital. The involvement of both US and European investors also highlights the transatlantic nature of advanced manufacturing innovation.
Forward-Looking Perspective
CloudNC’s expansion plans will likely focus on scaling its sales team and integrating deeper with ERP and MES systems used by large manufacturers. As AI models become more sophisticated, the company could extend its platform to other manufacturing processes, such as additive manufacturing or quality inspection. However, competition is intensifying, with incumbents like Autodesk and Siemens investing in similar AI capabilities, and startups like Cambridge-based Physna also targeting the engineering software space.
The funding gives CloudNC a war chest to push its technology into mainstream adoption, but the ultimate test will be whether its software can consistently deliver the precision and reliability required in high-stakes industries like aerospace. If successful, CloudNC could become a key player in the next wave of manufacturing automation.
