High-resolution visual anomaly detection for the production line. Give the reference part and its measures, point a camera at what comes off the line — let the model tell you if something is wrong.
No training required — a pretrained vision LLM reads the part against its spec.
No model to train, no data to label. Define the reference, capture the part, get the verdict.
Upload the ideal part image and its reference measures once. The spec is locked in from there.
A camera on each machine streams a high-resolution view of the produced part from every angle — automatically, as it comes off the line.
The vision LLM compares the part against the spec and tells you where a deviation is, if any — and raises an alarm.
Upload your first part and see the model at work. No setup, no training — give the reference, get the deviation.
Early access opens in turn for teams running a production line.