Stop paying to make parts you'll throw away.
A scrapped part costs you twice: the material, and the running time you'll never get back. By the time a trend breaches tolerance, the batch is already made. We catch it while it's still cheap.
flagged at batch 42 · still inside tolerance, already trending
Not because nobody's looking. Because looking is hard.
Spot inspection is inconsistent by nature
Tired eyes, end of shift, a sample rather than the run. The defects that slip through cost most, because they're found downstream, or by the customer.
Tolerance is a lagging indicator
A reject rate creeping from 0.8% to 2.3% is invisible on a shift report and perfectly acceptable on a spec sheet. It's also the only warning you were going to get.
Some causes are upstream of the part
Tool wear doesn't announce itself in the part until the part is already out of spec. The signal was in the coolant temperature two hours earlier.
Ask what this defect has meant before.
A defect is rarely new. Somebody has seen it, diagnosed it and fixed it. The record just isn't searchable by the person holding the part. Assistant makes it searchable in plain language, with sources attached so the answer can be checked.
try a question →
Three ways we protect your yield.
Computer vision makes the go/no-go call at a quality gate the same way every time, flagging defects as they happen, without slowing the line or leaning on tired eyes. If a person can see it in an image, a model can usually learn it.
Quality checks rely on spot inspection, so defects slip through and are caught late, when they cost most.
A consistent pass/fail call at the gate, catching defects as they happen without slowing the line.
Quality Watch tracks reject rates and process trends continuously and raises them early, projecting where a trend is heading rather than waiting for it to arrive, so you correct the process while it's still cheap.
A reject rate creeps up unnoticed until it breaches tolerance, by which point a batch of scrap is already made.
The trend is flagged while it's still in tolerance and cheap to correct.
Some quality losses come from wear you can't see until the parts are already bad. By watching the signals that precede it: a coolant temperature running high on a job known for tool wear. Insights warns the operator to change the tool before it starts scrapping expensive material.
Tool wear shows up only once high-value parts are already out of spec and scrapped.
The early signs are flagged at the machine, so the tool is changed before a single bad part is made.
The warning an operator can act on
Insight isn't much use in a monthly report. The operator at the machine gets the same truth as the person planning the schedule, in the form that's useful for the job in front of them.
Optimise productivity →
The idle time and awkward steps holding a line below its pace.
The hard partComputer vision →
How the gate call gets made, on your hardware, without slowing the line.
StartDiscuss a production problem →
Bring us your most stubborn defect. We'll show you where it starts.