Training : 30-50 images, less than 30mn

Trained in 30 minutes. Running on your line the same day.

At DeepHawk, we believe your team should be able to deploy a new vision model between two coffee breaks.

DeepHawk is trained to comprehend the image and what a good product looks like, so 30 to 50 images of good parts are enough to build your model.

Here is how fast it actually moves:

10 mins: Select 30 to 50 good images
30 mins (max): Train your unique AI model
Same day: Validate performance on your parts and go live

Same day: performance validation on your parts, then live on the line.

And when production reality shifts, retraining is just as painless.

A product design tweak, a new supplier, a tightened quality criterion or a new lighting setup: you adapt the model in under 30 minutes, without waiting weeks for external support.

Incremental Learning lets you enrich an existing model with new images instead of starting over.

Who does it: a quality engineer, not an AI engineer. There is nothing to tune, where comparable systems expose 50 or more parameters.

One honest prerequisite: those 30 minutes only pay off if the ground truth is clean. Well-defined acceptance criteria and representative OK images are what make the rest work.