
Idiction
AI-powered body measurement data platform for multiple industries.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | Seed | ||
Total Funding | 000k |
Idiction, founded by CEO Jaemin-Yang on October 4, 2018, is a fashion-tech company that specializes in AI-driven body size measurement technology. The company's core offering is an artificial intelligence image processing and deep learning scanning technology that provides accurate body size measurements from smartphone photos. This technology is designed to address sizing issues between apparel companies and their customers. The firm's product, the Sizeit app, achieved an average accuracy of 98.5% in precision tests conducted at the Korea Testing Certification Institute (KTC).
The company's business model is centered on providing its core technology as a service to various industries. Clients in fashion can use the technology to recommend suitable sizes to customers, which helps reduce return rates and customer service time. The technology also has applications in wellness for exercise and body maintenance planning, healthcare for checking body balance during physical therapy, and the metaverse. Idiction provides the fundamental database for services that use human body data. The company's patent for a "Method for obtaining picture for measuring body size and body size measurement method, server, and program using same" was filed in early 2019.
Historically, Idiction has achieved several milestones since its inception. In 2018, it was selected as a resident company of the Sejong Entrepreneurship Center and participated in CES 2019 in Las Vegas. In 2020, the company obtained its patent registration, launched version 2.0 of its Sizeit app, and conducted a product crowdfunding campaign. It also secured a contract with Atomy Corp. to provide a non-face-to-face size measuring system. The company is headquartered in Gangnam-gu, Seoul, Republic of Korea.
Keywords: AI body measurement, body size analysis, image processing, deep learning scan, fashion tech, size recommendation, apparel industry, non-face-to-face measurement, Sizeit app, body data platform, healthcare analysis, wellness planning, metaverse applications, virtual try-on, size optimization, return reduction, 3D virtual model, body scanning technology