MoneyMove Co., Ltd. is a South Korea-based financial technology company that operates an online investment-linked finance platform connecting individual borrowers with retail and institutional investors. The company specializes in data-driven credit underwriting and non-face-to-face financing solutions powered by proprietary artificial intelligence (AI) and machine learning credit scoring systems (CSS). Its core products and services comprise: unsecured personal credit loans tailored for salaried workers and employed professionals; retail peer-to-peer investment products providing automated fractional investment, automated portfolio diversification, and segregated investor asset custody managed via commercial banking partners; collateralized financing solutions, including real estate-backed loan facilities; invoice discounting and factoring services for business entities; and automated loan comparison and marketplace integration systems. Founded in February 2012, MoneyMove Co., Ltd. is headquartered in Seoul, South Korea, and is listed on the Korea Exchange KONEX market under the ticker symbol 179720. In recent major corporate developments, the company officially changed its corporate name from LendingMachine Co., Ltd. to MoneyMove Co., Ltd. in March 2024 to consolidate its brand identity and support wider financial platform operations. To expand credit availability for mid-to-low credit borrowers and scale co-investment transaction volumes, MoneyMove has forged institutional investment partnerships with domestic secondary banking entities, including Goryeo Savings Bank, DH Savings Bank, and Smart Savings Bank. The company has also integrated its real-time credit matching services with leading domestic digital finance and loan comparison platforms such as Kakao Pay, Naver Pay, KakaoBank, Finda, and Finnq. Additionally, MoneyMove entered into a strategic collaboration with proptech firm Korea Asset Purchase, diversified its business portfolio from unsecured consumer credit into secured asset financing, and conducted equity capital enhancements to finance the continuous optimization of its machine-learning credit risk modeling infrastructure.