ArcNC provides an AI-powered software platform that enables welders to program industrial robots without any coding knowledge. The software automates weld extraction and motion planning, reducing programming time by up to 90% and requiring no additional hardware. This makes robotic welding accessible for low-volume production runs that would otherwise be impractical.
Funding
Funding not disclosed
Founders
Product
Problem
Skilled welders are increasingly difficult to find, and while robots can help address this shortage, programming them is complex and time-consuming—even for experienced programmers. This complexity creates a high barrier to using robots for low-volume production, leaving many manufacturers unable to leverage automation effectively.
Solution
ArcNC removes the complexity of robot programming through an intuitive, AI-powered software interface designed specifically for welders. The platform automatically extracts weld paths from CAD models and generates optimized motion plans, eliminating the need for manual programming. By reducing programming time by up to 90% and requiring no additional hardware, ArcNC enables manufacturers to deploy welding robots quickly and efficiently. The software's user-friendly design means skilled welders can operate robotic systems without specialized programming knowledge, lowering the barrier to automation for low-volume production runs.
Target Audience
ArcNC targets small-to-mid-sized manufacturing companies that use or want to adopt welding robots but lack specialized programming expertise. The primary users are welders and production engineers seeking to automate low-volume or custom welding tasks without hiring dedicated robot programmers.
Features
- AI-powered automatic weld extraction from CAD models, eliminating manual path definition
- Fully automated motion planning that generates optimized robot trajectories without user intervention
- Intuitive interface designed for welders, requiring zero programming knowledge
- Reduces programming time by up to 90% compared to traditional teach-pendant methods
- Works with existing welding robots without requiring additional hardware investments
- Cloud-based software platform accessible from standard computers or tablets