Perspectives on AI, manufacturing, and the future of industrial production.
Limitless Labs was named one of the Disruptors 60, a list of the companies reshaping their industries in 2026.
Xometry Pro sat down with David Priev, co-founder and CEO of Limitless Labs, to talk about why CAM programming is still a bottleneck, what an agent can and cannot do today, and what happens when the people who know how to cut Inconel retire.
What IT and security teams should ask any AI CAM vendor, and how the Limitless Labs CAM Agent protects CAD data with encryption, isolation and AWS GovCloud.
Compare 3-axis, 4-axis and 5-axis CNC machining: how each moves, what parts it suits, 3+2 vs simultaneous 5-axis, and what changes in CAM programming.
The Limitless CAM Agent made its IMTS debut with live AI CNC programming inside Siemens NX CAM and Mastercam. Here is what the industry saw, and what manufacturers asked for next.
David Priev on AI CNC programming at IMTS 2026: native CAD understanding, physics-based toolpath decisions, and where the programmer stays in control.
AI has moved from an experimental feature to a production requirement across enterprise CNC programming. At IMTS 2026, manufacturers will see a broad range of approaches on the show floor. Here is a framework for understanding what each delivers.
One AI CAM company announced its software is running in over a thousand facilities worldwide. Another raised $20M for Physical AI deployed in aerospace and defense. They are not the same product. Here is what manufacturing directors at precision manufacturers need to understand.
The AI CAM market has gotten crowded fast. Underneath the marketing, these tools are built on fundamentally different architectures — and that difference determines whether you end up with a tool that helps a programmer work faster, or a system that can program at scale.
The CNC programmer shortage is structural. AI copilots don't solve it. Physical AI agents that preserve expert knowledge do. Here's why the distinction matters.
From standardized posts to AI-assisted programming, these ten moves help NC teams deliver faster, more consistent results.
AI adoption in manufacturing reveals an unexpected paradox: the companies you'd expect to move fastest are often moving slowest.
These technologies emerged decades apart and developed distinct strengths. The most competitive manufacturers are using both.
93% of companies call AI vital for growth. Yet the machinists who fear displacement are the same ones who will benefit most.
Traditional CAM software requires years of expert training. The experts are retiring faster than new ones can be developed. Something had to change.
There are 600,000 unfilled manufacturing jobs in the US today. Reshoring plans assume workers that don't exist. AI is the only answer that actually works.
