Cluxn

Quality Automation

Catch defects a human eye misses.

Computer vision defect detection and RFID tracking that catch what manual inspection can't keep up with.

Quality AutomationLive
Defects caught1 in 4

The Problem

Manual inspection misses defects at line speed, especially on long shifts.

Quality Escapes

0%

of output lost to rework

Manual inspection misses defects at line speed, especially on long shifts.

Quality Escapes

0%

of output lost to rework

Inspection quality varies by who's on the floor and how tired they are.

Quality Escapes

0%

of output lost to rework

Tracing a defective batch back to its source takes hours of paper records.

What's included

What's included.

Computer Vision Inspection

Defects caught automatically at line speed.

RFID Batch Tracking

Every unit traceable to its source.

Defect Analytics

Patterns surfaced, not just individual flags.

Line-Speed Integration

Runs with production, not after it.

Vs. Alternatives

Why not just use what everyone else uses?

Manual Spreadsheets

Reports compiled by hand, always at least a day behind reality.

Enterprise BI (Tableau, SAP Analytics)

Priced and built for large enterprise data teams, not a single plant.

Cluxn

Purpose-built dashboards and models connected directly to your real data.

Process

The timeline.

Weeks 1–2

Line Assessment

The defect types costing you the most

Weeks 3–7

Vision Model Training

Train detection models on your actual product and defect examples

Weeks 8–10

Integration & Testing

Integrated at production speed
Validated on real output

Weeks 11–12

Rollout & Monitor

Roll out
Monitor accuracy
Refine against real defect data

See It In Context

See Quality Automation in context.

See Quality Automation in context.Live
Defects caught1 in 4

Proof

The result in practice.

Plastic Products & Injection Molding

under 1%

from 6%

Manual visual inspection missed intermittent surface defects at line speed — issues surfaced only after a customer complaint, well after the batch had shipped.

A plastic injection molding manufacturer (illustrative example)

FAQ

Common questions.

Surface defects, dimensional variance, missing components, and other visually identifiable issues — scoped against your specific product during the line assessment.

No — it catches what's hard for a human eye to catch consistently at speed, freeing your QC team for judgment calls automation can't make.

A single-line deployment typically takes 8–12 weeks from assessment to live monitoring, including model training on your actual product.

Every engagement is scoped individually — line count and defect complexity both affect cost. During your free assessment, we give you an exact number within 48 hours, not a guess.

Ready to fix it?

One problem. Scoped in 4 weeks.

No pitch, no generic demo — a plan built around what's actually slowing you down.

Book a 30-Minute Call ↗

30 minutes, straight to the fix. No sales script.