Generative Design for Artistic Chandeliers

How AI helped a luxury lighting manufacturer refine their production process through predictive design analysis.

For a luxury manufacturer of artistic glass chandeliers, translating a designer’s creative vision into a tangible product is both an art and a challenge. Working with renowned international designers, the company sought a way to evaluate the feasibility of complex artistic concepts and plan their production with greater accuracy and efficiency. That’s where Uniquon’s AI stepped in — to make the beautiful buildable.

The challenge: evaluating production feasibility and improving design process efficiency

Turning a design sketch into a refined glass object involves numerous steps: design review, technical project drafting, production of individual glass components, and final assembly. This path can be slow, expensive, and sometimes unworkable if technical issues aren’t foreseen early.

The client needed an intelligent tool to:

• Evaluate the feasibility and complexity of new artistic designs

• Estimate time and cost of production

• Optimise the production process from sketch to showroom

The solution: AI trained on a heritage of glassmaking excellence

To develop a highly specialised predictive tool, Uniquon’s team worked closely with the client’s technical staff to compile a rich training set of past projects, manufacturing data, and technical documents. This domain-specific knowledge became the foundation of the AI system.

The development process included:

• Analysis – Understanding the craft and business context

• Training – Creating a datalake from real-world design and production cases

• Development – Building and refining predictive prototypes

• Testing – Verifying the AI’s accuracy and usability

• Deployment – Launching the best-performing model into production

• Results analysis – Measuring the real-world economic benefits

The result: AI-powered generative design that brings beauty to life

The final solution enables designers and manufacturers to:

• Upload a new concept via an intuitive interface

• Receive real-time evaluations on production feasibility

• Obtain estimates for time, cost, and necessary sales to offset investment

• Generate suggestions for refining the design and optimising the production process

By predicting challenges early, the AI ensures beauty doesn’t come at the cost of profitability.

Some figures

• 32% – Reduction in production costs

• 28% – Increase in productivity

• 16% – Reduction in average production time