Acloset
2 known investors
Acloset is an AI-powered fashion app that digitizes users' wardrobes to help them organize clothes, rediscover items they own, and generate outfit suggestions. Aimed at everyday consumers, it uses AI and data to promote more sustainable and personalized dressing.
Also known as Acloset - AI Fashion Assistant Β· Looko Β· Looko Inc. Β· μ£Όμνμ¬ λ£©μ½
Investors Β· 2
Company profile
researched Aug 2026Acloset is a consumer mobile and browser application that turns a user's physical wardrobe into a searchable digital closet and then recommends outfits from it. Items can be added by photographing garments, importing order histories or receipt emails from online stores such as Amazon, Zara and Shein, or selecting from an in-app clothing library; AI removes photo backgrounds, detects garment attributes (category, color, season, pattern) and, via the Smart Detector and Beautify features, isolates individual items from selfies or mirror shots and reconstructs them as clean product-style images. Core features include an AI stylist that suggests daily outfits based on weather, schedule and mood, chat-based styling consultation, personal color and fit diagnosis, an outfit calendar for planning and logging daily looks, cost-per-wear and style statistics, trip packing with weather data, and an AI virtual try-on that dresses an avatar generated from a user photo. A Chrome extension (Chrome 114+) lets users save garments from shopping pages to their closet or wishlist and browse both on desktop.
The app is published by Looko (Looko Inc. / μ£Όμνμ¬ λ£©μ½), based in Seocho-gu, Seoul, South Korea, and founded in June 2020 by CEO Heasin Ko and Director Kijun Yoon. Alongside the consumer Acloset app, Looko operates Looko-AI, a B2B SaaS inventory-management solution for secondhand clothing, and Second Sold, a consumer commerce platform aggregating secondhand fashion. The company frames its differentiation around AI that can extract garment attributes from low-quality user photos and a personalization engine able to produce useful recommendations even from partially registered wardrobes.
Founding story
Looko was founded in June 2020 by CEO Heasin Ko together with Director Kijun Yoon, with the premise of an "AI closet in your pocket" β letting users see and manage their whole wardrobe from a smartphone rather than in front of a physical closet, and reducing the daily decision of what to wear.
Business model
Freemium consumer subscription. Users can register up to 100 items and use the app's features for free; storing more items requires a monthly subscription. The apps also carry in-app purchases and advertising, and the Try On feature has tiered options including a Basic tier with daily free uses and a higher-quality Pro retry. Users can permanently earn 5 extra closet slots per referred friend, up to five friends. Looko additionally sells a B2B SaaS inventory-management product (Looko-AI) for secondhand clothing and runs the Second Sold secondhand commerce platform.
Subscription revenue from users exceeding the 100-item free tier, plus in-app purchases (including tiered AI Try On usage) and advertising in the Android app. Looko also monetizes B2B SaaS inventory management for secondhand clothing sellers and its Second Sold secondhand commerce platform.
Traction
The company's site reports 8 million users worldwide, over 110 million clothes digitized and users in 150+ countries; the app store listings cite a community of 4 million users, and February 2026 coverage cites 4.5 million cumulative members, 500,000 monthly active users, users in over 130 countries, 80 million registered clothing items and more than 14 million outfit combinations. The Android app shows 5M+ downloads with a 4.7 rating across 28.7K reviews; the iOS app has a 4.4 rating across 4.9K ratings. Recognition includes Google Play Editor's Pick (United States) and Google Play Featured in 2023.
Latest developments
Recent product additions include an AI style chat for open-ended fashion consultation grounded in the user's own closet and wearing habits, the Smart Detector and Beautify features for extracting and restoring garment images from casual photos, and AI Try On, which gained a lower-cost Basic tier with daily free uses and the option to retry a look in Pro quality. A 2026-08-24 Android release added outfit recommendations for any date within the next seven days using that day's weather. The company says it plans to use generative AI and automated purchase-history collection to make closet creation effortless, including technology to digitize an entire wardrobe from a single mirror selfie.
βΈFull profile β market position, technology, go-to-market, geography, history, risks & controversies
Market position
Acloset competes in the digital wardrobe and AI styling app category against apps such as Whering, Dressly, GetWardrobe, Combyne and Pureple. It reports scale figures well above typical peers in the category (millions of users across 150+ countries, 5M+ Android downloads, 28.7K Google Play ratings at 4.7 and 4.9K App Store ratings at 4.4) and has received Google Play editorial placement in the United States.
Company-stated advantages are AI that can accurately analyze clothing attributes from low-quality consumer photos, a personalization engine that produces satisfying recommendations even when only part of a wardrobe is registered, and an end-to-end daily routine spanning item registration, morning styling suggestions and OOTD logging. Automated wardrobe intake β via purchase-history/email import and a planned capability to digitize an entire wardrobe from a single mirror selfie β is positioned as a further differentiator, alongside multi-platform reach (iOS, Android, Chrome extension) and 18-language support.
Technology
Computer vision and generative AI applied to garment imagery: automatic background removal, garment recognition and attribute tagging, multi-item detection from selfies, mirror shots or wrinkled clothing, and image restoration into product-quality photos. A personalized styling engine combines a user's registered wardrobe, weather, occasion and stated preferences to generate outfit combinations, supplemented by an LLM-style chat stylist that reasons over the user's owned items and wearing history. A virtual try-on (VTON) pipeline builds an avatar from a user photo and renders selected garments on it. The company cites an accumulated dataset of 80 million registered clothing items and over 14 million outfit combinations as the basis for its models, and notes an AWS AI technology collaboration demo in 2025.
Go-to-market
Direct-to-consumer distribution through the Apple App Store and Google Play, extended by a Chrome Web Store extension for desktop shopping, with app-store editorial featuring (Google Play Editor's Pick, US) as a discovery channel. Growth is supported by a referral program granting bonus closet slots, an in-app community and Explore section showcasing other users' wardrobes, and an owned content magazine publishing style and packing guides. Support is handled by email (support@acloset.app).
Everyday consumers who want to organize and better use the clothes they already own, including students and fashion-interested users; the app is positioned around reducing morning decision fatigue, avoiding duplicate purchases and packing for trips. Looko's B2B SaaS product targets secondhand clothing sellers needing inventory management.
Geography
Headquartered in Seoul, South Korea (Seocho-gu). The service is global: the company's site cites users in 150+ countries, while February 2026 press coverage cites users in over 130 countries; the app supports 18 languages (English, Korean, French, Spanish, Simplified and Traditional Chinese, Japanese, German, Portuguese, Italian, Russian, Ukrainian, Polish, Dutch, Turkish, Indonesian, Arabic and Vietnamese). Store-import features vary by country.
History
Looko was founded in June 2020 by CEO Heasin Ko and Director Kijun Yoon to build Acloset, a personal AI digital closet. The iOS app is listed under developer Looko Inc. and the Android app under μ£Όμνμ¬ λ£©μ½. Acloset was a Google Play Editor's Pick in the United States and a Google Play Featured app in 2023. The company was selected for Post-TIPS in 2024 and the Startup Leap Package in 2025, participated in Google for Startups (Batch 2) and LG CNS Startup Monster (Batch 5), ran an AWS AI technology collaboration demo in 2025, and received multiple government R&D grants including TIPS and preliminary/initial startup packages. Product scope has expanded over time from closet digitization and outfit recommendation to AI style chat, Smart Detector/Beautify image restoration, virtual try-on, and a Chrome extension.
Risks & controversies
User reviews on Google Play report performance and usability problems, including slow and laggy interface behavior, repeated login prompts when adding items, limited search within the item library, inaccurate AI background cropping on non-professional photos, and inability to upload multiple images at once; reviewers also cite the 100-item free cap as restrictive and compare the app unfavorably with alternatives such as OpenWardrobe. Earlier iOS reviews noted server errors in outfit suggestion features and occasional failures saving items. The Google Play data disclosure states the app may collect location and personal information and may share location data with third parties.
Compiled by commissioned research from 7 cited public sources β announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed β not independently audited.
Timeline Β· 6
launches, deals, and filingsAndroid release notes describe date-selectable outfit recommendations for any day within the next seven days based on that day's weather, plus a new Basic tier for Try On with daily refreshing free uses and Pro-quality retry.
Korean business press profile of CEO Heasin Ko describing Acloset, Looko-AI (B2B secondhand inventory SaaS) and Second Sold, and a roadmap to digitize an entire wardrobe from a single mirror selfie.
Looko was selected for the 2025 Startup Leap Package program.
Looko conducted an AWS AI technology collaboration demo in 2025.
Looko was selected for Korea's Post-TIPS program in 2024, and has received multiple government R&D grants including TIPS and preliminary/initial startup packages.
Acloset was featured on Google Play in 2023 and is designated a Google Play Editor's Pick in the United States.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
βΈResearch sources Β· 7
primary sources listed
- Aclosetacloset.app Β· web
7 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Acloset do?
- Acloset is a Korean-built AI digital closet app that catalogs users' clothes and recommends outfits from what they own.
- Who are Acloset's investors?
- Acloset's investors include KT investment Inc., Laguna Investment.