Toggle QC scans production parts inline and confirms the right features ended up in the right place. Holes, slots, angles, dimensions, labels. No metrology lab, no trained operator, no missed errors shipped downstream.
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Most fabrication errors aren't caught until downstream — or worse, on site. Toggle QC moves that check to the point of production.
Toggle QC offers four core modules. Each can be deployed independently or as a full stack.
Confirms feature presence, location, and dimensions on scanned parts. Pass/fail output with quantified deviation.
3D sensing and computer vision to localize and verify rebar geometry in cut and bend OEM and fabrication shops.
RLS Calibration Assistant quickly calibrates a cut-and-bend line when new coil or straight bar material is loaded, ensuring accurate dimensions from the first part.
Identifies and maps intersections and joint geometry in complex assemblies, enabling robots to precisely navigate to and execute welding or tying operations, even within dense, hard-to-reach structures like cages.
What works, what doesn't, and what real production data shows.
We chose structured light because it reliably captures real geometry on complex, custom-fabricated parts.
In production, parts aren't perfect or repeatable — you need accurate surface data to verify features like holes, bends, and spacing. That's what structured light gives us.
Zeiss and Hexagon are excellent. They're also expensive, slow to deploy, and built for controlled environments.
Most specialty fabricators don't need lab-grade metrology — they need to know if the part is right before it ships.
That's the gap we're building for.
New posts every two weeks. What works, what doesn't, and what real production data shows. Unsubscribe anytime.
Questions or intros: hello@toggle.is
After nearly a decade building robotics for construction and fabrication, Toggle now delivers a QC platform that verifies parts in production and enables precise downstream operations.
Backed by Tribeca Venture Partners, Blackhorn Ventures, Grep VC, Mark Cuban, PT1, and others.