Training : 30-50 images, less than 30mn

DeepHawk learns from your good parts.

"My job is to make good parts, not build defective ones."

That’s what almost every plant manager tells us. Yet traditional AI requires hundreds of defect images just to get started.

At DeepHawk, we believe AI should adapt to what’s already running on your line.

By training on just 30 to 50 images of your OK parts, DeepHawk builds a precise model of what normal looks like—including all natural variations, glare, and surface changes.

brown tree on surrounded by brown grass during golden hour

What that means for your plant:

Zero Defect Labeling: No annotation campaigns, no data science team needed, no data curation delays.

Rapid Deployment: Go from setup to live detection in just 30 minutes.
Catch the Unseen: Detect brand-new, first-time defects that no one could have pre-trained for.
Stop waiting months to collect bad parts just to start detecting them.

👉 Want to test it on your own images? Send us a sample, and we’ll run a live demonstration right in front of you so you can see DeepHawk in action.

Visit www.deephawk.ai to schedule your test!