Observed arrival · 2026-09-17
Onqyra Wants the Factory Camera to Explain Itself
An industrial vision-AI platform that learns a part from good samples, flags unfamiliar defects, and correlates them with production-line conditions.
○Open
⊠Login
$Paid
†Ads
✦Pretty
●Pro
◎Niche
◉Human
⚑Risk
ƒJS
Field notes
The workflow starts with a small set of known-good examples rather than a labelled defect library: the page gives a 12-sample example for a simulated blister-pack part. Its demonstration then shows pixel-level anomaly scoring and clusters such as “Missing tablet” and “Foil scuff,” before associating a defect with a tool change and supplier lot. The site describes edge, on-premise operation and integrations through OPC-UA, MQTT, Modbus, or REST.
Observed signals
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Editorial observations of this landing page, not a rating.
○OpenPublic substance visible
⊠LoginAccess appeared gated
$PaidCommerce or pricing visible
✦PrettyNotable craft visible
◎NicheUnusually specific use
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