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Limitless Labs raises $20M for AI CNC programming platform

Limitless Labs has secured $20 million in Series A funding to scale its agentic AI platform for CNC programming, reducing programming time by up to 50%. Co-led by Dell Technologies Capital and Square Peg, the investment supports expansion of U.S. commercial operations and R&D in Tel Aviv. The platform — already deployed with Blue Origin, Cadillac F1 Team, Sandvik, and Iscar — runs inside Mastercam, Siemens NX, and Creo, and is ITAR-compliant for aerospace and defense use. Its Physical AI Foundation Model is trained on manufacturing-specific data, not generic text or code.

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Limitless Labs raises $20M for AI CNC programming platform

According to roboticsandautomationnews.com, Limitless Labs has raised $20 million in a Series A funding round on June 26, 2026 to scale its agentic AI platform for computer numerical control (CNC) programming and precision manufacturing.

Funding and Strategic Backing

The round was co-led by Dell Technologies Capital and Square Peg, with additional participation from Grove Ventures, Meron Capital, and Kinetica. The company — formerly known as LimitlessCNC — will use the $20 million to expand its U.S. commercial operations, advance development of its Physical AI Foundation Model, enhance its CAM Agent toward closed-loop CNC automation, and grow its research team in Tel Aviv.

Platform Capabilities and Deployment

Limitless Labs’ platform operates inside existing CAD/CAM software environments, including Mastercam, Siemens NX, and Creo. According to the company, its AI software reduces CNC programming time by up to 50 percent by automatically identifying machining features, recommending cutting tools, sequencing operations, and generating toolpaths. Unlike general-purpose AI models trained on text or code, its Physical AI Foundation Model is trained exclusively on manufacturing-specific data — such as CAD geometry, machining physics, and CNC machine operational characteristics.

Production Validation and Regulatory Compliance

The platform is already deployed in production with customers including Blue Origin, Cadillac Formula 1 Team, Sandvik, and Iscar. These deployments span high-precision sectors: aerospace, defense, motorsports, and industrial machinery. The software is ITAR-compliant and can be deployed on AWS GovCloud, enabling secure use within regulated U.S. government and defense supply chains.

Leadership Vision and Industry Impact

David Priev, co-founder and CEO of Limitless Labs, emphasized the platform’s human-centered design:

“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. We built Limitless Labs to work inside the CAD/CAM systems manufacturers already use, helping teams standardize best practices, reduce programming bottlenecks, and free senior programmers to focus on the hardest work, without giving up control.”

The company’s approach directly addresses the global shortage of skilled CNC programmers — a challenge intensifying amid aging workforces and shrinking vocational pipelines in advanced manufacturing hubs across the US and EU. As Yair Snir, managing director at Dell Technologies Capital, stated:

“Limitless Labs represents the next wave of enterprise AI, moving beyond digital workflows and into the physical world of precision manufacturing. Their unique foundation model and the caliber of their production deployments gave us conviction that this team is building the defining platform for AI in manufacturing.”

Similarly, Lior Handelsman, general partner at Grove Ventures and co-founder of SolarEdge, noted:

“Eighteen months ago, we backed Limitless Labs’ vision that agentic AI could transform the factory floor. What the team has achieved since then has exceeded expectations. They are combining deep technical innovation with practical software in a way that could reshape how the world’s most critical parts are made.”

Source: Robotics & Automation News

Compiled from international media by the SCI.AI editorial team.

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