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Generative & Agentic AI
Generative AI Applications
Dental Laboratory

Generative Crown Design Workflow for a Digital Dental Lab


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Problem

Manual CAD design queues

A regional digital dental lab serving around 300 practices was bottlenecked by manual CAD queues. Each crown took a technician 30 to 40 minutes to design, turnaround stretched to six working days in busy weeks, and senior designers spent most of their day on routine single-unit cases instead of complex restorations.

Solution

Generative design, technician approved

We built a generative design workflow in which a model trained on the lab's own library of approved crowns proposes anatomically fitted geometry for each incoming intraoral scan. Technicians review and adjust every proposal in a browser-based 3D viewer before releasing it to milling, and each approved case feeds back into the next training round.

Measurable Impact

What changed after launch

Average design time per single-unit crown reduced from 35 minutes to under 9

Case turnaround shortened from 6 working days to 3 across the 300-practice client base

Design team throughput increased 2.1x within 5 months without additional hires

Remake rate from fit issues fell from 4.8% to 2.9% after the feedback loop went live

Tech & Tools Used

What powered the build

Python (FastAPI)
PyTorch
PyTorch3D
Open3D
Three.js
React
Node.js
PostgreSQL
AWS S3 + SQS
Docker

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