2D 14: 24: 37
DRESSdio is a pioneering Web3-native fashion-tech platform that transforms how fashion is created, owned, and experienced by integrating AI and blockchain technology. The platform empowers creators and consumers to co-design personalized fashion items and trade them as digital assets within a decentralized ecosystem. With its AI fashion agent DRESSdio breaks away from the traditional supplier-driven fashion industry to create a collaborative ecosystem where designers, artists, influencers, producers and consumers interact horizontally.
Major Backing: DRESSdio has secured $3.48M in funding, including a $2.76M R&D grant from the Korean government and investments from Infobank (listed IT company). The project is currently in active discussions with Hashed, one of Asia's leading blockchain venture capital firms.
Start time
2025-09-05 02:00:00
End time
2025-09-09 04:00:00
Ends In
2D 12: 15: 37
Project Introduction
Founder
Token Economics
Technical Overview
Token Circulation Status
Project Highlights
Risk reminder
Dr. Chang-Kyu Park
Token Economics
$DRESS token serves multiple utilities: exclusive fashion tool access, NFT minting/trading fees, creator royalty distribution, and governance participation. The dual-token system with DP enables sustainable platform rewards and fixed-value transactions, creating efficient ecosystem operations and long-term user engagement incentives.
Technical Overview
DRESSdio operates on a dual-token architecture with $DRESS (ERC-20 on Polygon) and DP (DRESSdio Points) on a private chain. The platform integrates AI-powered styling agents for personalized recommendations, NFT minting capabilities, smart contract-based revenue sharing, and blockchain infrastructure supporting seamless creator-to-consumer experiences across Web2 (doDRESS) and Web3 environments.
Token Circulation Status
Ecosystem (27%): No tokens released at TGE; linearly distributed over 5 years
Foundation (20%): No tokens released at TGE; 12-month lock-up followed by linear distribution over 36 months
Marketing (15%): 5% released at TGE; linearly distributed over 36 months
Liquidity (15%): 25% released at TGE; the remaining 75% released in three batches of 25% every 8 months, used for DEX/CEX listings and cross-chain bridge liquidity pools
Team & Advisors (10%): No tokens released at TGE; 12-month lock-up, linearly distributed over 24 months
Strategic Partnerships (5%): No tokens released at TGE; 12-month lock-up linearly distributed over 24 months
Private Sale 1 (1.9%): No tokens released at TGE; 9-month lock-up after TGE; 25% released monthly from the 10th to 13th month. Unsold tokens will be moved to the marketing pool
Private Sale 2 (6.1%): No tokens released at TGE; 12-month lock-up after TGE; linearly distributed over 12 months. Unsold tokens will be moved to the marketing pool
Project Highlights
DRESSdio revolutionizes the $1.79 trillion global fashion industry by creating a decentralized ecosystem where diverse creators collaborate beyond traditional boundaries. Our AI-powered platform enables personalized fashion creation, seamless NFT integration, and fair revenue distribution through smart contracts. We're building a horizontal creator economy where fashion designers, artists, influencers, and consumers co-create and monetize digital fashion assets, transforming the centralized brand-dominated industry into a collaborative, personalized Web3 fashion ecosystem.
Risk reminder
Bu para biriminin alım satım piyasası teknik, yasal, düzenleyici ve diğer faktörler nedeniyle önemli dalgalanmalar yaşayabilir. Lütfen proje detaylarını iyice anlayın ve katılmadan önce yeterli pazar araştırması yapın. Gate, para biriminin borsada listeleneceğini garanti edemez. Nihai listeleme durumu çeşitli faktörlere bağlı olacaktır ve resmi listeleme duyurusu geçerli olacaktır.
By participating in the project, you accept our Airdrop Terms and Conditions
My Participation
Per GT
0.1238DRESS≈ 0.0061 USD
Total Airdrop
400,000DRESS
Individual Participation Cap
1,000GT
Participants
12,420
No staking required. Hold GT to receive airdrop rewards.