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Dell Technologies Capital and Square Peg co-led the Series A funding round, joined by Grove Ventures, Meron Capital and Kinetica. Today’s round follows a $4.1 million seed round in March 2025 led by Grove Ventures.
Limitless Labs provides a platform that assists with the development, design and production of high-precision machine parts. Computer-aided design and manufacturing is a part of the industry that is a two-part process that has humans design 2D and 3D digital parts of parts and then translate those designs into machine codes that automated machines can then use to build and refine the actual parts.
The integration of CAD/CAM has revolutionized various industries, greatly accelerating the ability to precisely machine and develop precision parts, lower waste and speed up production. Examples of industries that have benefited from this industry include manufacturing and engineering that use it to prototype and mill new parts for aerospace and automotive; dentistry that uses it to mill custom crowns, veneers and dental implants – also surgical and specialized medical needs; as well as designing injection molds for electronics, consumer goods, custom jewelry and other everyday items.
“The manufacturing world doesn’t just need more automation, it needs a better way to capture and scale the expertise that still lives inside the heads of a relatively small number of experienced machinists,” said co-founder and Chief Executive David Priev.
Limitless sought to tackle this explosion of scale and demand for machining needs as consumer goods and other manufacturing came into their own with retail delivery shifting online and manufacturing becoming an on-demand product. Its platform helps standardize best practices, reduce bottlenecks and free programmers from tedium, the company said, by having AI agents do the everyday work and double-check reliability.
The company said the underlying AI agents are trained on the physics of metal cutting, CAD geometry and the operational constraints of real machines, putting them in a special class of large language models and instruction understanding. Limitless Lab’s physical AI model translates these real-world foundations into functional understanding for manufacturing.
Physical AI refers to artificial intelligence models that connect the real world to the digital, allowing systems to use sensors to understand the environment, reason, make decisions and use actuators to physically manipulate objects. Over the past few years, it has been integrated heavily into manufacturing, where it’s rapidly transforming how goods are designed and manufactured.
Given a CAD file, the CAM agent can identify features, recommend tools, sequence operations, generate instructions for tools and help produce shop-floor-ready programs to reduce programming time up to 50%.
“Eighteen months ago, we backed Limitless Labs’ vision that agentic AI could transform the factory floor,” said Lior Handelsman, general partner at Grove Ventures and co-founder of solar power system manufacturing company SolarEdge Technologies Inc. “What the team has achieved since then has exceeded expectations.”
Even as demand for electronics, consumer goods and manufacturing increases. According to a report from The Business Research Private Ltd., demand drivers include simultaneous expansion across aerospace, defense, automotive (especially in electric vehicles), medical devices, electronics and consumer goods, all pulling on the same machining capacity. The market size reached $3.38 billion in 2025 and is expected to exceed $5.09 billion in 2030. With manufacturing jobs reshoring at an increased rate in the United States, Limitless expects that manufacturing needs will become even more compelling at the domestic level.
“We believe the next major AI platform will be built for the physical world, and that starts with giving manufacturers a way to scale their best knowledge across every new part and every new engineer,” Priev said.
Limitless said the new funding will be dedicated to the U.S. commercial organization, advancing the physical AI foundation model automation and growing the CAM agent to automate the design-to-machining pipeline.
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