Most vision pilots die after the demo.
This is where yours would actually run.
Cameras and models that grade every unit for defects, dimensions, missing parts, and bad labels — then signal the PLC to pass or reject before the part moves on. Built past the point every rig demo stops.
The full loop, not a notebook demo.
Camera to PLC, wired into your line — not a script on a laptop.
Every unit imaged, scored against defects, dimensions, missing parts and bad labels, then passed or rejected by a signal into your line controller.

A dataset you maintain
Every flagged unit adds to a defect set that is yours, not locked in a vendor's model.
A metric you watch
One accuracy figure on your dashboard — the number the system is held to.
A retraining path
New lighting, new SKU, new defect — the model retrains instead of quietly drifting.
Edge hardware on the line
Inference at the line, not a round trip to a data center — decisions in time to act.

The model is a few weeks. The rig, the data, and the integration are the project.
Most vendors show you the model. We build the three stages before it — the ones that decide whether a demo becomes a line that runs.
Capture
Camera, lighting, and lens calibrated to your part and your defect — not a demo rig repurposed for your line.
Dataset
Your parts, your edge cases, your near-misses — labeled at the tolerance your line actually ships to.
Model
Trained and validated against your tolerance — the fast part, and the one every pilot deck already shows you.
Integration
Wired to the PLC so a verdict signals pass or reject before the part moves on — the step that never appears in a demo.
Four handoffs. One of them is usually where it breaks.
A vision pilot doesn't fail all at once — it fails at a specific handoff between the rig, the data, the line, and the months after go-live.
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01
Rig
Camera, lighting, and mount tuned to your line's belt speed and glare — not a benchtop demo.
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02
Data
Images pulled from your actual defect population across shifts, not one clean batch.
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MOST PILOTS NEVER REACH THIS →
03
Integration
Model output wired to the PLC as a pass/reject signal the line acts on.
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04
Monitoring
A metric you watch and a retraining path for when materials or lighting change.
Built for ourselves first.
Before any of it reaches a client, it runs our own ~300-person operation. We do not sell you software we hope works. We sell you the software we depend on.
Hiring
Every engineer on your account was hired through it.
Outreach
The same demand-generation discipline behind your Discovery Sprint.
Upskilling
Trains our team the way your operators will train on the new line.
Regional by default, not by request.
Engineering teams sit inside the regions we serve, and the decision log never leaves the region it was made in.
Bengaluru
IndiaChandigarh
IndiaDubai
United Arab EmiratesCambridge
United KingdomCalifornia
United StatesThe version of this page most vendors don't write.
Five plain conditions under which the Sprint is the wrong call. Read them first — they cost us leads and cost you nothing.
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01
Live next week
A rig, a dataset, and a PLC signal take weeks to prove, not days. Faster promises usually mean something got skipped.

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02
No visual signature
Sound, smell, or weight-only variance never reach the sensor. We won't sell a camera against a defect it can't see.

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No real images to test
The Sprint runs on your line's actual defect images. Without them, the feasibility read is guesswork — same as last time.

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Expecting a demo
We hand over a dataset you maintain, a retraining path, and a wired PLC signal — a line control, not a proof-of-concept clip.

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Wanting someone else's proof
We run our own 300-person operation on our own AI. That's our standard — the Sprint proves yours, not a borrowed case study.

The Sprint, in three numbers.
Before you commit to a build, the Discovery Sprint gives you a fixed-timeline answer on the exact defect your line ships today.
From your defect to a written feasibility verdict.
First call — your images, your tolerance, no deck.
Cost of that first call. No obligation to continue.
The defect your line ships today, in the images you already have.
Dataset check and a model run scored against your tolerance.
A written pass/reject report — yours to keep either way.
13 · Get Started
Give us your hardest defect. In two weeks you'll know if a camera can catch it.
We test feasibility on the exact defect your line ships today — your images, your tolerance — before any build commitment. The verdict is yours to keep either way.
Book a Discovery Sprint →What to bring
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10–20 images of the defect, as it looks on your line today
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The tolerance or spec that decides pass vs. reject
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Line speed and mounting constraints where a camera would sit
45 minutes to a verdict — go or no-go.