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CloudNC Raises $20M to Bring AI Assistance to CNC Programming and Quoting

The UK manufacturing software company will use its new funding to expand CAM Assist and launch a quoting product aimed at helping CNC shops take on more work without adding equivalent programming capacity.

CloudNC Raises $20M to Bring AI Assistance to CNC Programming and Quoting

CloudNC has raised a $20 million extension to its Series B, bringing its total funding to $128 million. The UK-based company sells software designed to automate time-consuming decisions in CNC machining—the programming work that turns a digital part design into instructions a machine can execute.

The financing, led by Nimble Ventures, also includes Calculus Venture Capital, Entrepreneur First, LM Capital and Lockheed Martin’s venture arm. CloudNC says the capital will support broader adoption of its CAM Assist product, expanded go-to-market operations and development of products including Quote Agent.

The bottleneck is programming, not just machine time

CNC machining is central to producing precision components across automotive, defense and consumer hardware. But before a machine begins cutting, a machinist or CAM programmer must make a series of consequential choices: how to hold the part, which tools to use, what direction to approach from, and which feeds and speeds fit the job.

Conventional computer-aided manufacturing software gives programmers powerful tools to make those choices manually. CloudNC’s pitch is to generate a first pass instead. Its CAM Assist software plugs into established systems including Autodesk Fusion and Mastercam, selecting tools and machining approaches and drafting machine code for the user to review, edit and approve.

That human-in-the-loop workflow is commercially important. In production settings, programming errors can mean scrapped material, broken tools, delayed deliveries or damaged equipment. Rather than positioning the product as a replacement for machinists, CloudNC is framing it as a way to shift skilled staff away from repetitive setup and toward verification and higher-value judgment.

A distribution challenge follows the technical one

CloudNC says CAM Assist is used by more than 1,000 machine shops globally, with 80% of its customer base in the United States. The company has about 80 employees and says its immediate priority is scaling adoption.

That puts interoperability and workflow fit at the center of the next phase. Machine shops rarely replace core software or processes lightly, especially where quality systems and customer requirements are stringent. Software that works alongside incumbent CAM platforms—and preserves final review by experienced operators—may have a more practical route into those environments than a wholesale replacement system.

The company’s investor roster also signals interest in markets where CNC capacity and supply-chain resilience matter, although the funding announcement does not disclose commercial partnerships or deployments with Lockheed Martin.

Quoting is the next operational target

CloudNC plans to launch Quote Agent next month. The product is intended to help manufacturers estimate the cost and risk of prospective jobs, allowing them to decide more quickly whether to accept or decline work.

For shop operators, quoting is closely connected to the programming problem. A credible quote requires a realistic view of tooling, setups, cycle time, material and production risk. Slow or inconsistent estimates can cause a shop to miss opportunities; overly optimistic ones can lock it into unprofitable work. If Quote Agent can improve the speed and quality of those early decisions, it could affect utilization and margins before a part reaches the machine floor.

What to watch next

The key test is whether CloudNC can demonstrate reliable gains across varied parts, machines and shop workflows—not just faster software output. Buyers will want evidence that automation reduces programming time while maintaining manufacturability, quality and operator control.

Watch for the Quote Agent launch, the depth of CloudNC’s integrations with major CAM ecosystems, and whether its reported shop base converts into wider enterprise-standard deployments. As manufacturers seek to expand capacity amid skilled-labor constraints, tools that turn expert knowledge into reviewable, repeatable workflows could become an important layer of industrial software.

Sources

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