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Ruby Kinglet

Ruby Kinglet provides a complete AI workbench for jewelry design, photoshoot, CAD, and storefront customization, built on a jewelry-specific AI kernel with a Rhino-based parametric engine. The platform includes 6,000+ community templates, AI Studio with 20+ tasks, and mobile-first features for capturing pieces at the bench. It serves jewelry designers, fabricators, and brands from demi-fine to high jewelry.

Traction –/10
HQ unknown
2200+ followers
  • Artificial Intelligence
  • Creator / Creative Economy
  • Fashion Technology
  • Software Only
Updated 11 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Jewelry designers and brands face fragmented workflows that separate design, CAD modeling, photography, and retail customization, forcing manual handoffs and limiting creative iteration. Generative AI tools built for general-purpose use fail to respect jewelry-specific constraints like proportions, material intent, and production feasibility, making them unreliable for professional use.

Solution

Ruby Kinglet provides a complete AI workbench built specifically for jewelry, unifying design, photoshoot, CAD, and store customizers into a single platform. The system is powered by a jewelry-specific AI kernel that combines a component primitives library with a Rhino-based parametric engine, allowing designers to maintain exact proportions and production feasibility while using generative workflows. Users can start from mood boards, 6,000+ community templates, or partial sketches and generate high-fidelity imagery, with traditional image editing available for fine control. The platform also supports managing collections and suites, translating rough concepts into production-ready renders, and integrating generative tools into retail and e-commerce environments.

Target Audience

Primary customers are jewelry designers, fabricators, and brands ranging from demi-fine to high jewelry, as well as retail and e-commerce operations seeking generative tools to drive custom sales.

Features

  • Jewelry-aware design builders with support for templates, mood boards, and scene studies that feed the AI model
  • Library of over 6,000 community templates as starting points for complex designs
  • AI Studio for controlled generation with 20+ tasks, including BOM breakdowns, and tools to maintain finish, findings, dimensions, inscriptions, and stone/metal changes
  • Rhino-based parametric engine integrated with a component primitives library for production-feasible modeling, supporting 12+ STL and 3DM workflows
  • Traditional AI-powered and conventional image editing capabilities to achieve exact desired details
  • Systems for managing collections and suites, enabling expansion of a single motif into coherent product families
  • Workflows for translating partial sketches into high-fidelity imagery without conventional processes
  • Mobile-first features allowing users to snap a piece at the bench and upload it directly into the photo studio
  • CAD-based photoshoots that use STL or 3DM files as seeds for AI renders, keeping geometry exact
  • Storefront customizers that let shoppers design their own jewelry on the product page, with live rendering and quote generation
This profile is AI-generated and may contain inaccuracies.