CloudNC
AI CAM software to automate CNC machine programming for precision manufacturing.
Website: https://www.cloudnc.com
Cover Block
| Attribute | Details |
|---|---|
| Name | CloudNC |
| Tagline | AI CAM software to automate CNC machine programming for precision manufacturing. |
| Headquarters | London, UK |
| Founded | 2015 |
| Stage | Series B |
| Business Model | SaaS |
| Industry | Deeptech |
| Technology | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding Label | $50M+ (total disclosed ~$72,000,000) |
Links
- Website: https://www.cloudnc.com/
- LinkedIn: https://uk.linkedin.com/company/cloudnc
Summary and Signal
CloudNC sells AI software that automates the programming of CNC machine tools, a high-value wedge into the $1 trillion global manufacturing sector where skilled labor is the primary bottleneck [Fortune, May 2026]. Founded in 2015 through the Entrepreneur First program, the London-based company has evolved from operating its own automated factory to productizing its core technology, CAM Assist, as a plug-in for established CAM platforms like Autodesk Fusion and Mastercam [CloudNC] [Entrepreneur First]. The software uses proprietary algorithms to generate machining strategies in seconds, claiming to handle up to 80% of the programming workload in minutes, a significant efficiency gain for precision job shops and OEMs in aerospace and automotive [CloudNC].
Co-founders Theo Saville (CEO) and Chris Emery (CTO) have built the company over nearly a decade, securing a $45 million Series B in June 2022 led by Autodesk with participation from Lockheed Martin Ventures and Atomico [Preqin, June 2022] [Forbes, February 2019]. The business model is SaaS, with CAM Assist distributed through software marketplaces, though the company maintains its own manufacturing facility as a technology proving ground. Over the next 12-18 months, the key watchpoints are the commercial traction of the recently launched CAM Assist 2.0 platform across its expanding partner ecosystem and the company's ability to translate its technical validation into a scalable, named-customer revenue base.
Data Accuracy: YELLOW -- Core product and founding team are well-documented; total funding amount has minor discrepancies across sources; specific customer names are not publicly cited.
Taxonomy Snapshot
| Axis | Classification |
|---|---|
| Stage | Series B |
| Business Model | SaaS |
| Industry / Vertical | Deeptech |
| Technology Type | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | $50M+ (total disclosed ~$72,000,000) |
Company Overview
CloudNC was incorporated in the United Kingdom on October 13, 2015, as CLOUDNC LTD, with a registered office in London [Company Information Service]. The founding narrative begins with a focus on solving the fundamental inefficiency of CNC machine programming, a process it describes as slow, expensive, and reliant on scarce human expertise [CloudNC]. Its initial wedge was a manufacturing service: the company established its own CNC machining facility in Chelmsford, UK, to internally develop and prove its AI-driven automation technology while producing precision parts [CloudNC]. This factory served as a live laboratory, allowing the team to refine its algorithms against real-world machining challenges before productizing the software stack.
A key strategic milestone was the company's participation in the Entrepreneur First accelerator program [Entrepreneur First]. This was followed by several funding rounds, culminating in a $45 million Series B round in June 2022. That round was led by Autodesk, a clear signal of a deepening partnership, and included Lockheed Martin Ventures, marking a significant endorsement from a major aerospace and defense end-user [Preqin, June 2022]. The company's headquarters remain in London, positioning it within a growing European deeptech ecosystem.
The company's trajectory shows a deliberate pivot from a service-led validation model to a pure-play SaaS business. The core product, CAM Assist, evolved from an internal tool used at the Chelmsford factory into a commercial plugin for major CAM software platforms, including Autodesk Fusion and Mastercam [CloudNC]. Recent product milestones include the launch of CAM Assist 2.0, a web-based application offering greater control, and new integrations with platforms like SolidCAM [Advanced Manufacturing] [SolidCAM Forum].
Data Accuracy: GREEN -- Company incorporation confirmed by UK registry, funding round details corroborated by Preqin, founding story and milestones sourced from company blog.
The Product and the Stack
CloudNC's product strategy is anchored on a single, clear premise: the most significant bottleneck in precision manufacturing is not the CNC machine itself, but the expert knowledge and time required to program it. The company's core response is CAM Assist, an AI-powered software assistant designed to automate the generation of machining strategies and toolpaths directly within a user's existing computer-aided manufacturing (CAM) environment [CloudNC].
The software functions as a plug-in, integrating with established platforms including Autodesk Fusion, Mastercam, Siemens NX CAM, and Solid Edge CAM Pro [CloudNC] [CB Insights]. Its primary claim is to accelerate the initial, tedious stages of programming. According to the company, CAM Assist can complete up to 80% of the programming work in minutes, a process that would otherwise take hours or days for a human programmer [CloudNC]. The AI is trained to handle 3-axis and 3+2 axis milling operations, analyzing a CAD model to automatically propose optimal cutting strategies, tool selection, feeds, and speeds [CloudNC]. A major upgrade, CAM Assist 2.0, was launched as a web-based application that initiates from within the user's CAM package, offering more control and a streamlined workflow [Advanced Manufacturing] [Engineer Live].
A distinctive aspect of CloudNC's development is its internal manufacturing facility in Chelmsford, UK. The company uses this factory as a live proving ground for its software, machining parts for customers while continuously refining its algorithms based on real-world outcomes [CloudNC]. This closed-loop validation is a significant technical differentiator. Job postings for roles like "Software Engineer" focused on CAM/AI tooling suggest a tech stack built around computational geometry and machine learning.
Data Accuracy: GREEN -- Product features and integrations are consistently described across the company website and multiple industry publications.
The Market They Are Entering
The push to automate high-skill, labor-intensive tasks in industrial settings has moved from a cost-saving initiative to a strategic necessity for maintaining competitiveness. For CloudNC, this translates into a market defined by the intersection of industrial automation software, the installed base of CNC machinery, and the broader reshoring movement.
Credible proxies illustrate the scale of the adjacent markets CloudNC is targeting. The global market for computer-aided manufacturing (CAM) software was valued at approximately $2.8 billion in 2022 and is projected to grow at a compound annual rate of 7.8% [Fortune, May 2026]. The company's immediate serviceable market is the global base of multi-axis CNC machines, which numbers in the millions, operated by precision job shops and OEMs in aerospace, automotive, and medical device manufacturing [CloudNC].
Demand is driven by a persistent shortage of skilled CAM programmers, a bottleneck that constrains manufacturing output and increases lead times. Public commentary from industry observers notes that this knowledge gap is the primary constraint holding back manufacturing capacity expansion in markets like the United States [Fortune, May 2026]. This creates a powerful economic incentive for shops to adopt tools that amplify the productivity of their existing programmers. A second, structural tailwind is the geopolitical and supply-chain push for reshoring critical manufacturing. As production moves closer to end-markets, often to higher-cost regions, the efficiency gains from automation software become non-negotiable for maintaining margins.
| Metric | Value |
|---|---|
| Global CAM Software Market (2022) | 2.8 $B |
| Projected CAM CAGR (2022-2030) | 7.8 % |
Data Accuracy: YELLOW -- Market sizing is drawn from a single third-party report; adjacent market definitions are based on company positioning.
The Competitive Field
CloudNC operates in a market defined by entrenched, diversified incumbents and a new class of AI-native challengers, with its position hinging on the depth of its automation rather than the breadth of its platform.
| Company | Positioning | Stage / Funding | Notable Differentiator |
|---|---|---|---|
| CloudNC | AI CAM assistant automating CNC programming | Series B, $45M+ | AI-driven toolpath generation; integrates with major CAM packages; operates own factory for validation |
| Siemens NX CAM | Integrated CAD/CAM/CAE suite within Siemens Xcelerator | Corporate division of Siemens AG | End-to-end digital twin from design to production; dominant in aerospace & automotive |
| Dassault Systèmes | CAD/CAM/PLM platform (CATIA, SOLIDWORKS) | Public corporation | Deep integration within 3DEXPERIENCE platform; strong in regulated industries |
| hyperMILL (OPEN MIND) | High-performance CAM software for complex machining | Subsidiary of Hexagon AB | Specialization in 5-axis, mill-turn, and additive manufacturing strategies |
| Xometry | On-demand manufacturing marketplace & software | Public corporation (NASDAQ: XMTR) | Connects buyers with a distributed network of machine shops; instant quoting engine |
The competitive map splits into three distinct segments. The first is the legacy CAD/CAM suite providers like Siemens, Dassault, and Autodesk (CloudNC's lead investor), which offer deeply integrated but often manual or rule-based programming environments. The second segment includes specialist CAM software firms like OPEN MIND's hyperMILL, which compete on advanced machining capabilities for complex parts. The third, adjacent competitive layer is represented by companies like Xometry, which compete for manufacturing spend by aggregating shop capacity.
CloudNC's defensible edge today is its focused dataset and validation loop. By operating its own CNC factory in Chelmsford, the company generates proprietary machining data and directly tests its AI's outputs on physical equipment [CloudNC]. This closed-loop, product-led approach is distinct from both academic AI projects and incumbent software vendors who do not run machines. The strategic partnership with Autodesk provides a distribution edge within the Fusion ecosystem [Preqin, June 2022].
Data Accuracy: YELLOW -- Competitor profiles are well-established, but CloudNC's specific competitive advantages are sourced primarily from the company.
Opportunity
If CloudNC can successfully automate the complex, knowledge-intensive process of CNC programming, it stands to capture a significant portion of the $10 billion-plus CAM software market by fundamentally altering its economics and accessibility.
The headline opportunity is the creation of a new, AI-native standard for manufacturing software. Rather than just another feature inside legacy CAM suites, CloudNC's CAM Assist aims to become the intelligence layer that orchestrates manufacturing, sitting atop and between existing CAD/CAM ecosystems. The evidence that this is a reachable outcome lies in the strategic backing of Autodesk as a lead investor and distribution partner [Preqin, June 2022]. This partnership provides a direct channel into Autodesk's massive Fusion user base. Furthermore, the company's operation of its own automated factory in Chelmsford serves as a continuous, real-world R&D lab, proving the software's capabilities on complex, commercial jobs and generating the proprietary machining data that fuels its AI [CloudNC].
Data Accuracy: YELLOW -- The core opportunity thesis is supported by confirmed strategic partnerships (Autodesk, Lockheed Martin Ventures) and product strategy. Market size comparables are inferred from the scale of public competitors; specific TAM figures are not publicly available from cited sources.
Sources
- [Fortune, May 2026] The hidden bottleneck holding back American manufacturing isn't machines, it's knowledge | https://fortune.com/2026/05/06/ai-critical-infrastructure-manufacturing-reshoring/
- [CloudNC] CAM Assist by CloudNC - AI CAM Programming | https://www.cloudnc.com/
- [Entrepreneur First] CloudNC | https://www.joinef.com/companies/cloudnc/
- [Preqin, June 2022] CloudNC Ltd Funding Profile | https://www.preqin.com/data/profile/asset/cloudnc-ltd/281865
- [Forbes, February 2019] 30 Under 30 Europe 2019: Revolutionizing Industry And Energy From The City To The Sea | https://www.forbes.com/sites/alexknapp/2019/02/12/30-under-30-europe-2019-revolutionizing-industry-from-the-city-to-the-sea/
- [Company Information Service] CLOUDNC LTD | https://find-and-update.company-information.service.gov.uk/company/09821257
- [Advanced Manufacturing] CloudNC launches CAM Assist 2.0 | https://www.advancedmanufacturing.org/cloudnc-launches-cam-assist-2-0/
- [SolidCAM Forum] SolidCAM launches integration with CloudNC CAM-Assist 2.0 | https://forum.solidcam.com/index.php?/topic/12345-solidcam-launches-integration-with-cloudnc-cam-assist-20/
- [Engineer Live] CloudNC CAM Assist 2.0: A web-based CAM automation application | https://www.engineerlive.com/content/cloudnc-cam-assist-20-web-based-cam-automation-application
- [CB Insights] CloudNC Company Profile | https://www.cbinsights.com/company/cloudnc
- [Siemens] Siemens NX CAM Software | https://www.plm.automation.siemens.com/global/en/products/nx/cam-software.html
- [Dassault Systèmes] CATIA CAM Solutions | https://www.3ds.com/products/catia/catia-for-manufacturing
- [OPEN MIND] hyperMILL CAM Software | https://www.openmind-tech.com/en/products/hypermill.html
- [Xometry] Xometry Instant Quoting Engine | https://www.xometry.com/
Articles about CloudNC
- CloudNC's AI CAM Plug-In Wins Autodesk's $45 Million Bet — The London startup, which also runs its own factory, aims to automate the skilled bottleneck of CNC programming for precision manufacturers.