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VRING:ON, From Sketch to Factory, in One Flow
HonoreekoArtificial IntelligenceAI 기반 제조스케치-팩토리 자동화디지털 트윈제조 공정 최적화스마트 팩토리

VRING:ON, From Sketch to Factory, in One Flow

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RebuilderAI

One-Line Product Definition

An AI platform for fashion designers and manufacturers that revolutionizes the entire design-to-manufacturing process by automatically generating manufacturable 3D CAD, 2D patterns, and technical documents directly from sketches or simple descriptions.

Problem Definition

In fashion manufacturing for clothing, shoes, etc., the process of creating 3D models for factory production from sketches is complex and time-consuming. Communication between designers and pattern makers is costly and time-intensive, and material waste (offcuts) is significant.

Existing AI tools mainly focus on image generation and are not connected to actual production. VRING:ON aims to solve this lack of connection between design and manufacturing.

Key Differentiators

By inputting sketches or text prompts, it presents dozens of design variations and immediately generates integrated 3D prototypes (CG), flattened patterns (including markers), and work instructions (tech packs). It also optimizes pattern layouts to reduce fabric waste and encourages the use of recycled materials, highlighting environmentally conscious design.

This reduces concept-to-sample production time by more than 60%, and the fact that it creates manufacturable designs with deep learning-based fashion-specific AI differentiates it from existing tools.

Key Adopters

B2B fashion/shoe/furniture/consumer goods manufacturers and design companies (brands). In particular, the fashion industry, which requires high-mix low-volume production and rapid response to trends, is the primary target. (Intersection market of fashion tech and AI.)

Scalability

Applicable to the global clothing, footwear, furniture, and home appliance design markets. As an industry-specific AI, it is expanding into industry-specific (shoes, furniture, etc.) Expert AI, and there are already collaboration cases with global companies (such as ASICS in Japan).

In line with the trend of manufacturing automation since the pandemic, there is also the possibility of expansion into other industrial fields (electronics, packaging, automotive parts design, etc.).

Judges' Evaluation

It received favorable reviews, winning two awards in the CES Fashion Tech and AI categories. Many evaluations stated that it "bridged the gap between design and manufacturing."

The level of technical completion is at the actual pilot project level (prototype support), and its potential has been recognized through ASICS investment attraction. However, market verification is still in progress as the market introduction stage is still in its early stages. (The existing fashion industry may need time to accept new technologies.)

Analyst Insights

⚠️ The technology is impressive, but the market is uncertain (the industrial impact is significant, but the industry needs time and education to adopt it)

The award list data is based on the official CES 2026 website, and detailed analysis content is produced by USLab.ai. For content modification requests or inquiries, please contact contact@uslab.ai. Free to use with source attribution (USLab.ai) (CC BY)

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