Limitless Labs says its model can plan CNC jobs from CAD files and cut CAM programming time by 50%. The Series A gives the Tel Aviv startup capital for U.S. expansion as it tries to earn trust on factory floors.
Limitless Labs raised a $20 million Series A to expand its AI platform for computer numerical control manufacturing, where skilled programmers turn design files into machine instructions for precision parts.
Dell Technologies Capital and Square Peg led the round. Grove Ventures, Meron Capital and Kinetica joined. The round brings Limitless Labs to $27.3 million in total funding since its 2024 launch.
David Priev, Assaf Peleg and Shahaf Finder founded the company under the name LimitlessCNC. Priev and Peleg came from Unit 81, the Israeli military technology unit. Finder researches machine learning and deep neural networks at Ben-Gurion University.
The technical claim
Limitless Labs builds an AI agent for CAD/CAM workflows. A manufacturing engineer loads a part file into CAM software. The agent reads the part geometry, checks the target machine's constraints, chooses cutting tools and creates toolpaths under cutting conditions that fit the job.
The company says its system can reduce CNC programming time by as much as 50%. That figure gives manufacturers a clear metric to test: hours spent programming a part before and after adoption. Limitless Labs has not shared a public benchmark suite, error-rate study or side-by-side test set that outside engineers can inspect.
The model uses three kinds of input: metal-cutting physics, geometric structure from design files and constraints from industrial machines. That mix matters because CNC work punishes vague automation. A wrong feed rate can destroy a tool. A bad toolpath can scrap a part. A process plan that ignores machine limits can waste a programmer's afternoon.
The new part
Many factories have spent years adding robots, sensors and scheduling software. CNC programming still depends on senior machinists who know the behavior of materials, tools and specific machines. Limitless Labs targets that knowledge gap.
The company's agent does not ask manufacturers to replace their CAD/CAM systems. It works inside the software engineers already use, which lowers the adoption burden. That strategy also gives the startup a cleaner sales path than a full replacement product would offer.
The partnership with Cimatron gives Limitless Labs access to a CAD/CAM user base in mold, die and precision manufacturing. Cimatron has about 30,000 active CAD/CAM users, according to the company. That channel could help Limitless Labs reach engineers who already live inside CAM tools each day.
Limitless Labs says it has moved from pilots into production deployments with aerospace, defense and automotive customers, including Blue Origin, Cadillac Formula 1 and ISCAR. Those names signal interest from demanding shops, though customer logos do not prove broad reliability across materials, machines and part families.
The limits
CNC automation faces a harder test than text or code generation. A CAM plan must survive contact with material, fixtures, tools, coolant and machine behavior. Engineers will judge the system by scrap rates, setup time, surface finish, tool wear and the number of manual edits before a job reaches the machine.
The 50% time-saving claim also needs context. A simple part, a familiar machine and a standard material give an AI system fewer chances to fail. A complex aerospace component with tight tolerances creates a different burden. Limitless Labs will need to show where its agent performs well and where a senior programmer must take control.
Operator control will decide adoption. Manufacturers may accept suggestions for tools, feeds and toolpaths before they accept full automation. Limitless Labs appears to understand that path. Priev said the company wants to help teams standardize best practices and free senior programmers for harder work while they keep control.
The Series A will fund U.S. expansion, model development and growth at the company's Tel Aviv development center. Limitless Labs expects to double headcount during the next year.
The company now has to turn a strong manufacturing pitch into repeatable factory performance. If its agent can preserve expert control while cutting CAM bottlenecks, Limitless Labs could give precision manufacturers a practical way to scale scarce machining knowledge.
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