The fab shop, under autonomous control.
The autonomous operations layer for welding and metal fabrication — plasma and laser cutting control, joint fit-up and tacking, robotic arc, laser and resistance welding with heat-input and seam-tracking control, distortion and weld-sequence optimisation, AI weld inspection from X-ray, ultrasonic and vision, and an as-welded digital twin that tests weld quality and distortion before the arc strikes.
Controls plasma, laser and oxy cutting, nesting, bending and forming so plate and sections leave the front of the shop at the geometry the joint actually needs.
Senses and controls root gap, alignment, bevel and tack placement — the single largest upstream cause of weld failure and rework.
Runs robotic arc, laser and resistance welding: heat input, travel speed, wire feed, weave and real-time seam tracking, pass by pass.
Plans weld sequence, balances heat, and predicts out-of-plane distortion and residual stress before the assembly leaves tolerance.
Reads X-ray, ultrasonic and vision data to detect and predict porosity, cracks, lack of fusion, undercut and slag — machine-read, engineer-approved.
Optimises first-pass yield, rework hours and line balance across cutting, fitting, welding and finishing stations.
Drives welding robots, positioners, gantries and part handling, including approach, reach and collision-free motion around large weldments.
Holds right-first-time, non-conformance, weld genealogy and code traceability to AWS D1.1, ASME BPVC, ISO 3834 and EN 1090.
CEO & Co-founder
Leads Weldeon's product direction, fabricator partnerships, and commercial model, starting with the joints where rework and field escapes cost the most.
LinkedIn →CTO & Co-founder
Leads engineering on the seam-tracking, weld-inspection, and distortion models Weldeon runs on, and the as-welded digital twin behind them.
LinkedIn →If you're building the layer Physical AI can't scale without, we want to hear about it.