Uploaded July 2026 | Updated September 2026, 2 weeks ago
Most engineering teams sit on thousands of CAD parts but have no easy way to answer a simple question: "Have we designed something like this before?"
HOOPS AI answers it. It finds parts by their actual 3D shape — not by file names or manual tags. This demo explains, in plain terms, what that means for your business and how quickly you can put it to work. No AI or machine-learning background needed to follow along.
What you'll see in a live demo:
- Score how similar two parts are, instantly
- Turn a whole folder of parts into a visual "map" where look-alike parts cluster together on their own
- Register your parts into a searchable database
- Sketch a rough shape for a part you're about to design and instantly find existing parts you could reuse
- Why it matters for the business:
- Cut duplicate design work — reuse what you already have instead of redrawing it
- Prioritize where to focus checking when a design changes
- Spot candidates for part standardization across projects
Two ways to use it:
-Try on day one — a sample pre-trained model is included, so you can experience the entire workflow immediately, with no setup project.
- Train on your own data — for real accuracy on your parts, HOOPS AI learns from your own library. Everything runs on-premises: not a single byte of your CAD data leaves your environment, and the resulting model is an asset that's uniquely yours and gets better as you add more parts.
▼ Who this is for
- Executives and managers evaluating where AI can create real, practical value in engineering
- Design and engineering leaders looking to reduce duplicate work and standardize parts
- Anyone curious about what "AI for CAD" actually does in day-to-day work
#HOOPSAI #CAD #TechSoft3D #SimilaritySearch #ShapeSearch
Most engineering teams sit on thousands of CAD parts but have no easy way to answer a simple question: "Have we designed something like this before?"
HOOPS AI answers it. It finds parts by their actual 3D shape — not by file names or manual tags. This demo explains, in plain terms, what that means for your business and how quickly you can put it to work. No AI or machine-learning background needed to follow along.
What you'll see in a live demo:
- Score how similar two parts are, instantly
- Turn a whole folder of parts into a visual "map" where look-alike parts cluster together on their own
- Register your parts into a searchable database
- Sketch a rough shape for a part you're about to design and instantly find existing parts you could reuse
- Why it matters for the business:
- Cut duplicate design work — reuse what you already have instead of redrawing it
- Prioritize where to focus checking when a design changes
- Spot candidates for part standardization across projects
Two ways to use it:
-Try on day one — a sample pre-trained model is included, so you can experience the entire workflow immediately, with no setup project.
- Train on your own data — for real accuracy on your parts, HOOPS AI learns from your own library. Everything runs on-premises: not a single byte of your CAD data leaves your environment, and the resulting model is an asset that's uniquely yours and gets better as you add more parts.
▼ Who this is for
- Executives and managers evaluating where AI can create real, practical value in engineering
- Design and engineering leaders looking to reduce duplicate work and standardize parts
- Anyone curious about what "AI for CAD" actually does in day-to-day work
#HOOPSAI #CAD #TechSoft3D #SimilaritySearch #ShapeSearch





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