Rebellions Secures $253M in Series C Funding to Strengthen AI Hardware Position with U.S. VC Support.
RECENTLY ACQUIREDNov 11, 2025
Amount Raised
$253 Million
Round Type
Series C
SeoulManufacturingSoftwareScience And EngineeringArtificial IntelligenceMachine LearningSemiconductor Manufacturing
Investors
Top Tier Capital PartnersKindred Ventures
Description
Seoul-based AI semiconductor startup Rebellions has completed its KRW 350 billion (~ USD 253 million) Series C funding round, attracting new investment from major U.S. venture capital firms Kindred Ventures and Top Tier Capital Partners. This investment marks a pivotal moment as it signals the intersection of Korean chip design expertise with global capital. Rebellions aims to bolster its presence in the global semiconductor market with this new funding
Company Information
Company
Rebellions
Location
Seoul, Seoul, South Korea
About
At that time, Rebellions CEO and co-founder Sunghyun Park told TechCrunch that the startup wrapped up its initial Series A, which was oversubscribed, in less than three months from financial investors. The Pavilion Capital-backed AI chipmaker has raised about $72.8 million (92 billion KRW) in total Series A funding, bringing its total funding to about $102.8 million since its inception in 2020. Temasek’s Pavilion Capital backs South Korean AI chip maker Rebellions with $50M investmentRebellions spokesperson told TechCrunch that the company plans to use the extension round to mass-produce its second AI chip prototype, ATOM, that will be used for large companies in the cloud sector and data centers. “Through the partnership with KT, we hope Rebellions will become a global fabless company like NVIDIA and Qualcomm.” Rebellions is also currently in discussions with potential customers in the financial sector to get its first AI chip, ION, which was launched in November 2021.
Fundz sees it the moment Rebellions raises, hires an exec or expands, usually minutes after it happens, and tells you who to reach.
SeoulManufacturingSoftwareScience And EngineeringArtificial IntelligenceMachine LearningSemiconductor Manufacturing