NationA raises KRW 8.5 billion Series A for AI video platform
Hana Securities followed on while KDB Bank, Hyundai Investment Partners and Ilshin Venture Investment joined as new investors, bringing cumulative funding to KRW 11.7 billion.
NationA has raised a KRW 8.5 billion Series A round, according to bloter.net, and said it plans to launch a new AI video production platform that integrates its existing services.
Hana Securities, an existing shareholder, made a follow-on investment in the round. KDB Bank, Hyundai Investment Partners and Ilshin Venture Investment came in as new investors. With the Series A, NationA's cumulative funding now totals KRW 11.7 billion.
The company said it will invest in advancing the AI video production platform, strengthening its GPU-based service infrastructure and securing global paying customers.
Inference work moves in-house
NationA also intends to optimize inference of its AI video generation models using its own GPU infrastructure and to bring the production workflow in-house.
Founded in 2022, NationA has operated AI video production tools and an interactive drama platform for the global market. It was selected for the Ministry of SMEs and Startups' TIPS, Super Gap Startup 1000+ and Scale-up TIPS programs, and has taken part in NVIDIA Inception and the Google for Startups Accelerator: AI First program.
At CES early this year, the company won seven awards in total, including a Best of Innovation award, its third consecutive year of CES awards since 2024.
Quick answers
How much did NationA raise in its Series A?
NationA raised a KRW 8.5 billion Series A round, bringing its cumulative funding to KRW 11.7 billion.
Who invested in NationA's Series A?
Hana Securities, an existing shareholder, made a follow-on investment. KDB Bank, Hyundai Investment Partners and Ilshin Venture Investment participated as new investors.
What will NationA use the funding for?
The company plans to advance its AI video production platform, strengthen its GPU-based service infrastructure and secure global paying customers, while optimizing inference of its video generation models on its own GPU infrastructure.