Why does OCTOps get more accurate over time?

OCTOps uses a six-step continuous improvement cycle: Deploy → Collect → Annotate → Retrain → Redeploy → Repeat.

After the baseline models go live, the edge machine continuously collects footage from your specific environment. OCTOps specialists annotate this data — labelling what the AI should have detected, what it correctly identified, and what it missed. The annotated dataset is used to retrain your models, which are then redeployed with measurably better accuracy.

This cycle repeats indefinitely. Each iteration produces a model that knows your facility better — your equipment types, your lighting conditions, your production rhythms, your defect patterns.