Securitize partners with LG CNS on tokenized assets in Korea
MIAMI and SEOUL - Securitize and LG CNS have formally announced a strategic partnership aimed at developing tokenized assets and digital asset infrastructure within South Korea's financial market. The Memorandum of Understanding between the two companies merges Securitize's expertise in tokenization infrastructure with LG CNS's technological capabilities and industry relationships in Korea's financial sector.
The collaboration primarily focuses on three key areas: expanding the market for tokenized assets and stablecoins in partnership with Korean financial institutions; creating technology solutions that align with Korea's regulatory environment; and establishing comprehensive digital asset infrastructure, including stablecoin systems and treasury solutions.
Securitize, a leading player in regulated digital securities infrastructure, operates in the United States and the European Union and manages approximately $5 billion in assets under management as of September 2026. The company collaborates with notable asset managers such as Apollo, BlackRock, BNY, Hamilton Lane, KKR, and VanEck.
On the other hand, LG CNS specializes in AI transformation services and is active in blockchain, cloud computing, and system integration across Korea's finance, manufacturing, and public sectors. Carlos Domingo, Co-Founder and CEO of Securitize, highlighted that South Korea boasts one of the world's most advanced technology and financial markets, making it a critical market for the next stage of institutional tokenization.
Hongkeun Kim, Executive Vice President and head of LG CNS's Digital Business Division, emphasized that the partnership seeks to assist Korean financial institutions in developing applications that comply with regulatory standards. The companies also stated that any resulting products or services will be subject to applicable laws, regulatory approvals, and internal compliance processes.
Written by urgent.news from Investing.com's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.