Industrial Intelligence A structured map of industrial AIA structured map of industrial AI
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Design & R&D · Concept
Generative AI / Parametric CAD Generation
Text-to-part generation for simple concept parts
Scaling Core high effect
Core capability
A user can describe a part and get a first CAD version automatically, reducing routine modeling effort and accelerating the path from concept to editable geometry.
How it works
Instead of building geometry feature by feature manually, the user describes the part and the system translates that intent into a CAD construction sequence that produces an initial editable model.
Application here
An engineer describes a simple part in plain language and receives an editable 3D model without doing the initial CAD work manually.
Business impact
This speeds up early geometry creation and reduces dependence on CAD specialists for simple concept parts.
Limitations
It works only for simple shapes. Complex parts and manufacturing constraints still require conventional CAD and engineering review.
In production
This is already useful for saving time on routine CAD work by giving engineers a usable first version instead of starting from scratch.
Research
The next step is an AI that produces not only the shape, but also an editable modeling history that behaves more like work created by an experienced CAD engineer.
Examples
Text to CAD Case Study with the European Space Agency
Description: ADSP developed a production-ready text-to-CAD system for ESA's satellite communications engineering. It converts structured specifications into accurate parametric 3D models in under 20 minutes, cutting workflows from 2-3 days.



Bosch’s Breakthrough Image Quality Inspection
Description: Bosch used generative AI to create 15,000+ synthetic defect images from few real samples, enabling early training of automated optical inspection models for production lines.


Toyota Research Institute’s Text-To-Image Integration
Description: TRI integrated text prompts, sketches, and constraints like drag and chassis dimensions into generative AI for car designers, reducing iterations to align design with engineering needs in production workflows.
https://adsp.ai/text-to-cad-agenthttps://www.azumuta.com/blog/generative-ai-in-manufacturing-5-industry-transforming-use-cases/https://pressroom.toyota.com/toyota-research-institute-unveils-new-generative-ai-technique-for-vehicle-design/
Sources
— ; Text-to-CAD blog —
Zoo.devhttps://zoo.dev/https://zoo.dev/blog