Trillion Labs
Developing proprietary foundation models optimized for Korean and Asian languages to build 'Sovereign AI' that is both powerful and compute-efficient.
At a Glance
- Enterprise
- Government/Sovereign AI
- Tech Startups in Asia
AI Tools by Trillion Labs
(1)
Trillion Labs
Korean Asian Language LLMs
Discussions
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Latest News
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Products & Services
A 7-billion-parameter large language model designed for multilingual AI tasks with efficient computation and support for long context sequences.
A technology that predicts large AI model performance 100x cheaper, enhancing AI research and development efficiency.
Market Position
Positioned as a cost-efficient, sovereign alternative to US/Chinese LLMs, specializing in Korean/Asian language performance using proprietary XLDA technology.
Leadership
Founders
Jay Shin (Shin Jae-min)
CEO & Chief Scientist at Trillion Labs. Previously a Research Scientist at NAVER Corp working on HyperCLOVA X. Holds a Ph.D. in Computer Science from KAIST.
Jason Juneyoung Park
Co-founder & CSO/CPO at Trillion Labs. Previously a Research Scientist at NAVER Corp. Holds a Ph.D.
Executive Team
Jay Shin
CEO & Chief Scientist
Former Research Scientist at NAVER Corp (HyperCLOVA X); PhD in CS from KAIST.
Jason Juneyoung Park
Co-founder & CSO/CPO
Former Research Scientist at NAVER Corp; Ph.D.
Board of Directors
Founding Story
Trillion Labs was started by former NAVER AI researchers Jay Shin and Jason Park to address the lack of powerful foundation models optimized for non-English languages, aiming to create 'Sovereign AI' that empowers local industries without reliance on US or Chinese tech giants.
Business Model
Revenue Model
API usage and Enterprise licensing/solutions.
Pricing Tiers
Available for community use and research.
Tailored foundation models and infrastructure for large organizations.
Target Markets
- Enterprise
- Government/Sovereign AI
- Tech Startups in Asia
- Sovereign AI infrastructure
- Korean and Asian language NLP
- Enterprise AI solutions
- Cost-efficient AI R&D
- NVIDIA
- CoreWeave
- AWS