AI Set to Support Yakutia’s Jewelry Industry in 2026
The YUvelir.AI system is designed to streamline design workflows and accelerate the creation of new jewelry models.
In 2026, Yakutia plans to launch a pilot digital project for jewelry companies. The initiative, called Yuvelir.AI (Jeweler.AI), is being developed by the Arkticheskiy gosudarstvennyy universitet iskusstv, kultury i kreativnykh industriy (Arctic State University of Arts, Culture, and Creative Industries). Rector Sargylana Ignatieva shared details with TASS.
At the Intersection of AI, Creative Industries, and Arctic Heritage
The project is being developed in partnership with the National Library of Yakutia, following an initiative by the regional Innovation Development Fund. It focuses on building an intelligent design-generation system for jewelry that incorporates traditional Yakut ornamentation. The effort sits at the intersection of artificial intelligence, creative industries, and the preservation of Arctic cultural heritage.
The university is currently refining a prototype. In 2026, the software will be piloted at a jewelry company and tested in real production conditions. The developers plan to scale the product across the Far East and Arctic markets. The primary goal is to create software that streamlines designers’ workflows and speeds up the development of new jewelry models, while ensuring accurate and compositionally sound use of traditional Yakut ornamentation.
Yuvelir.AI (Jeweler.AI) has already been integrated into the university’s curriculum, with its outputs used for training. Students develop and test algorithms, build digital ornament databases, create project scenarios, and learn to apply AI in design. Graduates are expected to be equipped to work at the intersection of traditional culture, design, and modern technology.
From Flat Visualization to Full 3D Models
During the current year, the team also plans to expand the software’s capabilities to include the generation of three-dimensional images. This will move the system beyond flat visualizations to fully realized 3D models ready for use in production workflows.
Earlier, we reported that a neural network generated jewelry designs for a Russian amber producer.
