Every part checked the same way, and every defect on the record.
Camera images from the line are compared against your tolerances. Defects are marked, parts are routed, and trends show up before scrap does.
Illustrative interface, sample data. Built around your systems on a real project.
From your data to a decision your team approves.
In
Your documents and systems
We set up image capture on your line and learn your tolerances from labelled examples.
Each part is checked, defects are marked on the image, and a pass, rework or reject call is suggested.
Inspectors review edge cases, and defect trends are reported by line, shift and cause.
Out
Your team reviews and approves
Manual inspection varies by person and by shift, and defect records live in notebooks. Problems are found after a whole batch has shipped.

What your team gets
Marked-up image for every flagged part
Pass, rework or reject routing
Defect trends by line and shift
Evidence file for customer audits
Does it replace inspectors?
No. It handles the repeatable checks and sends edge cases to people.
Can it run on the factory floor with no internet?
Yes. Inference can run on a local GPU box beside the line.
How much training data does it need?
It depends on the defect types. We start with your existing records and measure before committing to more.
Pairs well with
Construction and industrial08Safety and compliance packages
Safety packages, permits and subcontractor paperwork are checked against your required list, with expired or unsigned items flagged and follow-ups drafted.
Distribution and retail10Inventory and reordering
Usage history and current stock levels are combined to suggest what to order, so shortages are caught before they stop work.
Construction and infrastructure02Project and field reporting
Daily logs, texts and subcontractor updates get turned into one readable summary per project, with blockers called out before they cascade.
Have a workflow like this?
Tell us what slows your team down. We will tell you honestly whether software can help.
