Karats.AI is an applied-AI product workflow that translates natural-language jewelry design intent into structured design parameters and deterministic geometry-generation processes. AI interprets language and intent; deterministic software then composes predefined, manufacturable components — a hybrid architecture rather than unrestricted text-to-3D generation.
The problem it solves
Specialized design workflows often require users to convert creative intent into precise technical parameters and manufacturable geometry — a translation that normally demands CAD expertise and slow manual iteration.
How it works
A hybrid pipeline — AI interprets language and intent, then hands structured parameters to deterministic software that constructs the output.
- 01Natural-language design intent
- 02LLM interpretation
- 03Structured parameters
- 04Deterministic Python workflow
- 05Predefined STL component assembly
- 06Manufacturable geometry
Why hybrid architecture?
AI handles language interpretation and intent extraction, while deterministic software handles geometry construction where precision, repeatability, and manufacturing constraints matter.
Capabilities
- Natural-language design-intent interpretation
- LLM-based intent extraction
- Structured parameter generation
- Deterministic Python geometry workflows
- Predefined STL component assembly
- Manufacturable geometry output
- Human review where appropriate
Availability
Karats.AI is not unrestricted text-to-3D generative AI. AI interprets intent; deterministic software composes predefined, manufacturable components. It does not directly invent arbitrary manufacturable geometry.