What we need to see
Your inspection checklist, representative images and labelled examples of acceptable parts and known defects.
QC inspection · Fabricators
Catch the Defect Before It Leaves the Bay.
In fabrication, the cost of a missed defect on dispatch is the customer rejection email, the haulage cost both ways, the rework slot you didn't plan for, and the relationship damage. AI vision inspection runs on the photos your team already takes, and catches what gets missed when the QC inspector is on their 200th part of the day.
Tell us the task, your current tools and where the work gets stuck. We will help you choose a sensible first scope.
The fabricators reality.
Your QC inspector is good at this. They're also human. After 200 parts on a Friday afternoon, attention drifts. Missing fillet welds, wrong finishes, off-spec dimensions, missing tags, these are the defects that should never leave the building. Customers expect photo evidence anyway, so the inputs already exist on someone's phone. The question is whether you're using them as inspection or just archive.
The work in context · Illustrative scenes
Start with the fabricators workflow.
Use representative inputs from the business to scope qc inspection. Agree what the system prepares and what a person needs to check.
Make the handover part of the build.
Test normal work, missing information and failures with the team, then hand over clear review steps and practical guidance.
Tuned for fabricators.
01
Define "right" per part type
For each common product type (gates, frames, balconies, brackets, etc.) we agree the inspection checklist, welds present, finish correct, dimensions within tolerance, packaging right, tags attached. Structured as machine-checkable schema.
02
Use the photos you already take
Pre-dispatch phone photos, fixed-camera shots at the QC bay, customer-spec photo packages. Same model handles all sources. No specialist hardware needed in most cases.
03
Inspect against the schema
For each photo: pass/fail per criterion, with reasoning. Missing weld? Flagged. Wrong colour? Flagged. Damaged corner? Flagged. Tags not attached? Flagged. Results go into the agreed inspection workflow; your quality team retains release authority.
04
Audit trail for customers and ISO
Every inspection logged with the input image, schema applied, decision, and reasoning. ISO 9001 audit trail without paper. Customer queries six months later: pull up the dispatch photos and the AI inspection record.
We integrate with what you have.
- Phone cameras / shop tablets
- Custom MES
- Microsoft 365 / Google Workspace
- Customer-specific photo packs
- ISO 9001 / 14001 audit logs
We check your software version, available API or export, access permissions and any supplier fees before quoting. If a reliable connection is not available, we will explain the practical alternatives.
Prove it on your own work first.
How we judge the pilot
Measure missed defects and false alarms by defect type under real lighting and camera conditions.
What stays in your hands
Your quality lead decides what can pass. Physical measurements, safety checks and final release remain with qualified staff.
Fixed fee, phased delivery.
£3,200-£10,000 for build, ~£150-£400/month for hosting + accuracy monitoring
From £3,200excluding VAT
QC inspection for fabricators
- Workflow audit + industry-specific spec
- Build, integrations, and tuning to your real data
- Deployment, handover and agreed access controls
- Hosting, AI usage and ongoing support quoted separately
Things people in this industry ask us.
01Will it replace our QC inspector?
No, it changes their job. They go from looking at every part to reviewing flagged cases, tuning the system, and handling complex inspections. Most clients keep the same headcount and take on more dispatch volume.
02Is this auditable for ISO 9001?
Yes, every decision is logged with input image, the inspection schema applied, the confidence scores, and the outcome. That's a cleaner audit trail than a paper log signed by a person who looked at 200 parts that day.
03What about parts that need physical measurement?
AI vision cannot replace callipers, CMM checks or a qualified release decision. But it can flag "this looks visually wrong, take a measurement", which is usually the trigger that's missing. We pair vision with manual measurement workflows where appropriate.
04How do you train it on our products?
A handful of reference photos per product type, typically 10-30, and a written checklist. We tune over the first month based on flagged cases and overrides. Adding new product types is straightforward.
05Where do the photos and decisions live?
We agree where data is processed, which providers are used, retention settings and access permissions before the build. We document the processing terms and test the chosen setup against your requirements. Private or on-premise deployment is scoped where feasible.
Zoom out.
Related solutions.
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Turn the idea into a working system.
What could work
better for you?
A new website. More customers. Less admin.
Tell us where you want to get to. Chris or Kay will reply within one working day.