Limitless Labs Raises $20M Series A to Expand Physical AI Platform

After publication, Limitless Labs' media representative contacted Let's Data Science with an updated company release and asked us to remove earlier customer references that are no longer included in the approved announcement. This article has been revised to reflect the corrected release, including updated customer wording and additional product/funding details from the company.

According to the corrected PR Newswire release, Limitless Labs (formerly LimitlessCNC) announced a $20 million Series A financing round co-led by Dell Technologies Capital and Square Peg, with participation from Grove Ventures, Meron Capital, and Kinetica. The updated release says the company has moved from pilots to full production deployments with Sandvik and Iscar, alongside notable customers across aerospace, defense, motorsports, and industrial machinery, and claims reductions in CNC programming time of up to 50%. The same release describes the platform as ITAR-compliant and deployable on AWS GovCloud for regulated manufacturing environments.

Limitless Labs describes its platform as an agentic physical AI system for CAD/CAM workflows in mechanical manufacturing. Its Physical AI Foundation Model is trained on metal-cutting physics, CAD geometry, and operational machine constraints rather than generic text or code alone. The company's CAM Agent works inside existing CAD/CAM systems, including Mastercam, NX, and Creo. Given a CAD file, the agent is designed to identify features, recommend tools, sequence operations, generate toolpaths, and help produce a shop-floor-ready program while engineers remain in control of the workflow.

The company is positioning the product against a manufacturing skills and knowledge-retention problem. The release cites nearly a quarter of the U.S. manufacturing workforce as age 55 or older, 97% of manufacturers listing knowledge retention as a top concern, 409,000 unfilled roles, and a projected shortfall reaching 1.9 million by 2033. For manufacturing teams, the commercial claim is not just faster automation, but the ability to capture senior programmers' expertise and standardize it across new parts, machines, and engineers.

Limitless Labs says the new capital will support a dedicated U.S. commercial organization, continued development of its Physical AI Foundation Model toward closed-loop CNC automation, expansion of the CAM Agent, and growth of its Tel Aviv deep-tech research lab. The company also expects to roughly double headcount over the next 12 months. Limitless Labs says it has raised $27.3 million to date.

Practitioners should watch for independent validation of the claimed 50% CNC programming-time reduction across different part families and machine types, evidence of repeatable deployment in regulated environments, and the maturity of human-in-the-loop controls for generated toolpaths. Integrations with major CAD/CAM ecosystems will also matter, because adoption depends on whether teams can use the agent inside tools they already rely on rather than forcing a separate workflow.

Companies evaluating physical-AI agents should assess data lineage, simulation fidelity, per-machine calibration, approval gates, and traceability of generated toolpaths. In regulated manufacturing, ITAR/GovCloud support is useful only if paired with auditable workflows and clear human signoff. The practical test is whether the system can encode expert process knowledge while preserving engineer control over final manufacturing decisions.