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02 · Vision AI · Manufacturing

Inspection that doesn't blink.
At the speed of your line.

Manual quality inspection is your most expensive and most inconsistent checkpoint. We replace it with a vision system that runs every check, every part, every shift — assembled from the best building blocks for your line, deployed in 8–12 weeks, priced on the outcome.

Start a conversationSee the inspection checklist
8–15×
Inspection throughput vs. manual
>98%
Detection rate on trained defect classes
60–80%
Lower cost-per-inspection
Hours
To retrain on a new defect class
The problem

Manual inspection is where quality silently drifts.

You already know it. The bill shows up as rework, warranty claims, and the shift manager's 6am call.

01
Inspector fatigue
An operator at hour seven of a shift catches ~70% of what they catch at hour one. The line doesn't slow down for that.
02
Shift-to-shift inconsistency
Two inspectors, two judgment calls on the same defect. The customer experiences both and decides which version of your quality is the real one.
03
Multipart checks get shortcuts
A 12-feature inspection becomes "the four we usually catch." The rest leak to assembly, to the customer, to the warranty queue.
04
Cost-to-serve scales the wrong way
Inspection headcount grows linearly with volume. Rework, scrap, and returns grow faster. The gap widens every quarter.
The approach

Inspect the way a skilled human would — just every part, every time.

A good inspector runs a checklist, not a single mental model. Surface first, then weld, then fasteners, then orientation. We do the same — with the right model for each check, running in parallel.

#
Inspection check
01
Surface scratch / cosmetic
02
Weld bead continuity
03
Fastener presence (multi-point)
04
Color / finish variation
05
Label alignment & legibility
06
Assembly orientation
07
Edge anomaly / burr
All seven checks run on the same frame, in under 400ms, on off-the-shelf edge hardware. Each check is a small, swappable model — add a new defect class by adding a row.
How we're different

We're integrators. Not a platform you have to license forever.

The vision AI market is full of vendors who'll sell you their hardware, their cloud, their seat fees, and a multi-year contract. We don't do that. We assemble the right system for your problem from the best building blocks — and we leave it running clean.

01

No vendor lock-in

Open weights. Your data, your environment, your model files. When the engagement ends you keep what was built — including the right to swap us out and have someone else run it.

02

Best camera for the job

We're not reselling a hardware SKU. The right camera for a surface scratch is not the right camera for a fast-moving weld. We spec per station — global-shutter, area-scan, line-scan, USB or GigE — based on what the check actually needs.

03

Leverage what you already own

If you already have machine-vision cameras, PLCs, lighting rigs, or a vision system that does part of the job — we extend it. We don't bulldoze working infrastructure to justify a bigger invoice.

04

Integrator, not platform vendor

We don't sell a platform you have to license forever. We assemble systems from the best building blocks — open-source models, commodity cameras, your existing MES — and we walk away when it's running clean.

How we deliver

Walk-through to running line in 8–12 weeks.

01Wk 1–2
Scope
Walk the line. Inventory what cameras and compute you already have. Pick the defect that hurts most. Define the success number — detection rate, false-positive ceiling, throughput. Written. Signed.
02Wk 2–4
Capture
Reuse existing cameras where they fit. Add new ones only where the optics or framerate fall short. Collect real frames — good parts and bad — from your line.
03Wk 4–6
Model
Train the model stack against your data. Each check in the checklist gets the model best-suited to it — not one big black box. Open weights, your data.
04Wk 6–10
Deploy
Shadow mode alongside your inspectors. Tune false positives down before the system makes a single call that stops the line.
05Wk 10–12
Cut over
Flip from shadow to live on your timeline. We stay hands-on through the first weeks of production calls — not via a ticket queue.
0612 mo
Operate
We stay on. New defect class? Add a row to the checklist — hours to retrain, not weeks. Everything you build stays yours when the engagement ends.
What changes

Quality goes up. Cost-to-serve goes down. Both are measured.

Every engagement has a success number signed before week one. Milestone-gated payment. You don't pay for hours — you pay for results.

Every inspection is logged
Frame, decision, model version, timestamp — into your MES or quality system.
Audit-ready by design
"Show me the last 10,000 inspections of part X" is one query, not a clipboard search.
Traceability to root cause
A defect spike is tied to shift, line, supplier batch — not buried in three spreadsheets.
Stack at a glance
Camera
Best for the job — reuse yours, or spec new. USB, GigE, global-shutter, line-scan.
Compute
Edge GPU at the line OR your existing server rack — your call
Models
Classifier + detector + VQA + anomaly. Open weights, swappable.
Integration
MES, PLC, ERP — over the interfaces they already speak
Retrain
New defect class in hours, not weeks
Hosting
Runs in your environment. Air-gapped if needed.
Lock-in
None. Open weights, your data, your right to swap us out.
Common questions

What plant managers ask first.

We tried vision AI before. False positives killed it.
One model can't do every check well. We run a stack — the right model per defect type — and tune false positives down in shadow mode for weeks before the system makes a single call that stops the line.
Do we have to rip out existing line equipment?
No. Cameras mount where your inspectors stand today. Compute lives at the edge or in your server room. Integration happens over the interfaces your MES and PLC already expose.
What happens when the part design changes?
Send us a few hundred frames of the new revision. We retrain the affected checks in hours and redeploy. No vendor contract, no quarterly retraining cycle.
Who owns the model and the data?
You do. Both. The system runs in your environment. We don't resell your inspection data, train on it for other customers, or hold the model weights hostage.
How is this priced?
Outcome-based, milestone-gated. We agree on a detection rate and cost-per-inspection target before we write a line of code. You pay when we hit them. Twelve months of operating support is included.
Start with one defect

Pick the inspection that hurts most. We'll show you what Day Two looks like.

One conversation, one defect class, one signed success number. That's the on-ramp.

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