lululab
AI-powered skin analysis for personalized beauty recommendations.
| Date | Investors | Amount | Round |
|---|---|---|---|
| investor investor investor | €0.0 | round | |
| investor | €0.0 | round | |
* | KRW20.0b | Series C | |
| Total Funding | 000k | ||
lululab is a South Korean startup specializing in artificial intelligence (AI) and big data-based beauty and healthcare solutions. The company spun off from Samsung Electronics' internal venture program, C-Lab, in May 2017. Lululab was founded by Yongjoon Choe, who serves as the CEO. Choe, a Cornell University bio-engineering graduate, researched DNA genome sequencing at Harvard Medical Hospital and identified a gap in leveraging technology to objectively measure skin health. This led him to initiate the development of an AI skincare assistant while at Samsung.
The company's core product is LUMINI, an AI solution that scans a user's face, analyzes skin conditions within seconds, and provides personalized product recommendations. The analysis covers multiple categories, including wrinkles, pores, redness, sebum, pigmentation, and acne, with a claimed accuracy of over 92%. Lululab's technology utilizes deep learning algorithms trained on a proprietary database of over 2 million global skin data points. The business model is primarily B2B, providing its technology to cosmetic companies, dermatology clinics, retail stores, and spas. Solutions include the LUMINI Kiosk, a self-service device for stores, and the LUMINI SDK for integration into web and mobile applications. The company also offers B2C products like the LUMINI Home smart mirror and has expanded into analyzing scalp conditions with LUMINI Scalp.
lululab has received significant recognition, including winning CES Innovation Awards for four consecutive years (2019-2022). The company has secured multiple rounds of funding, including a Series B in November 2020 led by Netmarble and a Series C in March 2022. Lululab aims to evolve from a beauty tech firm into a broader healthcare platform, using its vast skin database to research and develop solutions for skin-related diseases and overall wellness.
Keywords: AI skin analysis, beauty tech, skincare solutions, personalized cosmetics, deep learning, computer vision, dermatology AI, smart mirror, K-beauty, skin data, LUMINI, facial analytics, scalp analysis, digital healthcare, beauty kiosk, skincare recommendation engine, image processing, beauty AI, personalized skincare, cosmetic technology