# Cleaning Lab - **Website:** - **Primary alias:** `cleaninglab.co.kr` - **Employees:** 11+ - **Location:** Seongnam, Kyonggi-do, South Korea ## Description Cleaning Lab is a brand that focuses on creating meaningful connections through cleaning. They offer a range of products and services for both residential and office cleaning. With their flagship product, the Cleaning Lab app, they have facilitated over 230,000 successful matches between customers and professional cleaners. They have also helped 85,298 cleaners find new job opportunities through their platform. On average, customers save 22.3 hours on cleaning per month, thanks to Cleaning Lab's efficient and reliable service. Recognized as one of Forbes Asia's Top 100 Promising Companies in August 2022, Cleaning Lab has a track record of success. They have also expanded their offerings, including a household goods store, 'Cleaning Store', and office cleaning services. With a strong commitment to customer satisfaction and improving the work environment for cleaners, Cleaning Lab continues to strive for excellence in their service. Join their team and be part of the journey towards a cleaner and better future. ## Industries - 📊 Business and Consumer Services - 📊 Business Services _(under Business and Consumer Services)_ - 🏭 Heavy Industry and Engineering - 🏭 Waste Water and Environmental _(under Heavy Industry and Engineering)_ - 🖥 Computers Electronics and Technology ## Links - [youtube](https://youtube.com/channel/UCF_85IHPTJNxaTnmr0DqILw) - [instagram](https://instagram.com/cleaninglab_official) ## Logos & icons - logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/id0jGnH5zg/w/820/h/273/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1773305240610) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Mine Shaft | #262626 | dark | | White | #ffffff | light | | Old Rose | #c39480 | accent | ## Fonts - HelveticaNeue-Light — asset _(custom)_ --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._