AVIA · Training Loop
Training closesthe data loop
A model trained on curated data is only the halfway point. What it misses on the line comes back as reviewed, corrected samples — and the next round starts smarter.
The Data Loop
The six stagesof the data loop
The operating rhythm of an AVIA deployment — the first round bootstraps the model, and every round after keeps improving it.
- 01CaptureFootage and images come in from lines, cameras, and warehouses.
- 02InspectThe whole dataset maps into one embedding space — clusters, gaps, and sparse edges made visible.
- 03CurateDiagnostics flag suspected mislabels, near-duplicates, outliers, and low coverage.
- 04AI pre-labelsCold-start from zero samples: a text prompt, a click-box, a reference image, or a batch run.
- 05Humans reviewPeople verify and correct the drafts; every correction is kept as training signal.
- 06Training feeds backTrain, deploy, and let production misses return as the next batch's priorities.
Feedback
Deployment isa data source
Missed defects and low-confidence calls on the line are captured, reviewed, and corrected — then ranked by active learning into the next training batch.
- Misses come back as samples, not anecdotes
- Corrections are kept as training signal
- Each round's priorities come from the field
One feedback round
From a missed defectto redeployment, in five steps
Capture misses
Production misses and low-confidence calls are collected.
Review & correct
People verify and correct each one.
Rank
Active learning ranks them into the next batch.
Retrain
The model trains on the enriched dataset.
Redeploy
The improved model returns to the line.
When the loop closes
Measured resultsfrom the loop
4 → 0.3
Missed defects per month at a PCB plant
−70%
Wafer review time
6 wks → 1 wk
Warehouse video review cycle
From the AVIA customer deck
FAQ
Frequently askedquestions
Yes — it is a one-stop annotation and training platform. The loop runs from curated data to a trained, redeployed model; you bring the footage and the review decisions.
Run the loop onyour production data
See a feedback round run end to end on your own production data.