LimitlessCNC

Founded by CEO David Priev, CTO Assaf Peleg, and Chief Scientist Shahaf Finder, the company's origins are rooted in a real-world manufacturing challenge. The initial idea emerged when Priev, while serving in the military reserves, was tasked with rapidly producing critical components and experienced firsthand the inefficiencies of traditional CNC programming. This experience highlighted the urgent need for automation. The founding team combines deep expertise from elite Israeli military technology units with advanced academic research in machine learning. Priev and Peleg are veterans of the elite Israeli military technology Unit 81, and Finder is a machine learning researcher at Ben-Gurion University.

LimitlessCNC's business model centers on its AI platform, which utilizes physics-based AI, rather than conventional language-focused models, to analyze complex machining processes. The system learns from historical machining data and simulates the physics of metal cutting to suggest optimal tools, toolpaths, and machining strategies. This approach allows manufacturers to reduce CNC programming time by up to 80%, thereby cutting costs, enhancing precision, and speeding up production. The platform operates as a collaborative tool, providing tailored recommendations within the existing CAM software environment, allowing for a human-in-the-loop interaction. The service can be deployed on the cloud or on-premise.

The company serves manufacturers in high-stakes industries such as aerospace, defense, semiconductors, industrial equipment, automotive, and medical devices. By automating complex decision-making, the platform enables factories to standardize best practices, improve part quality, and achieve more profitable operations. After emerging from stealth in March 2025 with a $4.1 million Seed funding round led by Grove Ventures and Meron Capital, LimitlessCNC has already deployed its technology with a Tier-1 Western industrial equipment manufacturer. Keywords: CNC programming, AI in manufacturing, CAM automation, physics-based AI, precision manufacturing, machining optimization, toolpath generation, manufacturing efficiency, Industry 4.0, defense technology, aerospace manufacturing, semiconductor manufacturing, industrial automation, CAD/CAM integration, smart manufacturing, digital manufacturing, machine learning in manufacturing, production optimization, cycle time reduction, CNC machining software