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There’s a quiet moment in almost every first conversation we have.
We say: "Our system builds defect detectors from your CAD file."
And someone replies:
"Cool — so you need me to export an STL?"
Nope.
We take STEP.
That might sound like a minor technical detail, but it reveals something fundamentally broken in how software gets built for manufacturing.
We speak your language:
A file. A STEP file.
Not hand-labeled photos. Not STL meshes. Not tensor shapes.
You already designed the part. You already know what’s acceptable and what’s not. That STEP file is your intent — tolerances, geometry, features, all there.
So why wait for the real world to generate failures before you can detect them?
Why burn production parts just to find out what "bad" looks like?
We don’t need your line to go down to get smarter.
We simulate defects before you ever print the part.
We build inspection around your design — not your mistakes.
That’s the difference when you start with STEP.
Robotics used to be prohibitively hard. Hardware was expensive. Deployment was a research project.
It still doesn’t meet you where you are.
That’s the gap we’re closing.
By generating vision models from your digital twin — not from weeks of on-site trial and error — we’re helping inspection finally catch up to the rest of automation.
Just select your file, drag, drop, and go.
Walk the floor at any automation conference and you’ll see something strange:
Your robot can pick from a bin of tangled, overlapping parts…
But it still needs a human to tell it if that part is scratched, warped, or covered in flashing.
Why is bin picking easier than inspection?
Because most vision systems still depend on real-world, in-situ defect data.
And real-world defects are rare, inconsistent, and expensive to label.
Meanwhile, simulation — the foundation of modern autonomy in self-driving — has barely touched the factory floor.
Before founding Bucket, our team built and deployed hundreds of robots at companies like Argo AI and Stack AV. Simulation was everything. It let us test edge cases, iterate safely, and train systems without risking hardware.
Manufacturing deserves that same level of sophistication.
Inspection should be just as automated and reliable as everything else on your line.
That starts by using the data you already have — your STEP file — and simulating the conditions you actually care about:
We build defect detectors before you've printed the first part.
We validate performance before you’ve installed the first camera.
We take STEP because we’re not asking you to learn our world.
We’re stepping into yours.