LARGEACT AI
LARGEACT AI
LARGEACT AI
LARGEACT AI
LARGEACT AI
LARGEACT AI

Execution begins with people.

Execution begins with people.

Execution begins with people.

Team

Strategy, structure, and execution don’t happen by accident. They’re built by people who think beyond delivery.

From structural thinking to operational execution—
each role strengthens the system.

Team

Strategy, structure, and execution don’t happen by accident. They’re built by people who think beyond delivery.

From structural thinking to operational execution—
each role strengthens the system.

Management

Ted Kang

Ph.D., TSIS | CEO of Tongyang Networks | Chief Technology Officer (CTO) | AX (AI Transformation) Specialist

Y. T. Shim

Ph.D. | Seoul National University & Duke University | Intellectual Ventures | IP (Intellectual Property) Specialist

Management.

Kay Lee

CSAO. sXe. YONSEI MBA ,IP/DR PLANNER,VENTURE CAPITALIST former IPNOMICS co.CEO

Jason Lee

MBA | Yale University & Brown University | LS Investment | Private Equity (PE) & Venture Capital (VC) Specialist

Advisor

Advisor.

Sungpil Park

Head of Intellectual Property Program, KAIST Moon Soul Graduate School of Future Strategy | Expert in Science-Driven IP Strategy and Advanced Talent Development | Technology & Academic Advisor to LargeAct

Sohn Dongjin

Founder & CEO of Dextercrema, an AI Marketing Company | Chair of the AI Agent Committee at the Korea AX Industrial Marketing Association | Former APAC Jury Member at the New York Festivals International Advertising Awards

Suhyun Ahn

Renowned Scholar in Corporate & Capital Markets Law

| Former Member of National Fiscal and Legal Reform Committees | Advisor on IP Monetization, Copyright, and Digital Rights Frameworks in the AI Era

Hyunrae Cho

Public Sector Expert in Cultural Policy, Media & Content Industry Strategy | Former Director General at the Ministry of Culture, Sports and Tourism | Former President of KOCCA | Advisor on Public–Private Collaboration and Global Expansion Strategies for K-Content

Choi Seong-ho

Managing Partner, Law Firm VEAT | Specialist in IT & Startup M&A | Extensive Experience in Startup Investment, Legal Due Diligence, and M&A Advisory | Advisor on Major Venture Investment, Content, and Data Technology Transactions

Jeong Bu-seok

Chief Executive Officer of EYL, a next-generation security, communications, and defense infrastructure company based on QRNG technology / Holds proprietary true random number generation technology grounded in quantum uncertainty principles / Leads the commercialization of core quantum cryptography and quantum-secure communication technologies

Sungjun Cho (CTO, EYL)

Former Engineer at Hyundai Electronics | Specialist in Wireless Network Measurement Equipment Development | Holder of Core Technology for a Radioisotope-Based Quantum Entropy Chip | Led Development of Quantum Cryptographic Chips Certified by KCMVP National Security Standards

Sanghyun Son · Seungyeob Lee (Co-Founders, INNOPIN Co., Ltd.)

Co-Founder of “Master of Investment,” a Big Data, Quantitative & AI-Based Financial Platform | Holder of 20+ Registered and Filed Patents in Finance and Data Technologies | Led Expansion into Emerging Sectors Including Cryptocurrency, NFT, and the Metaverse


LARGEACT AI

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Engage AI Accountability

Tell us about your AI evaluation needs — whether it involves model learning detection, influence quantification, or attribution architecture.

Structured Evaluation

We assess AI systems through layered probing, parameter extraction, and cross-modal validation to identify measurable learning evidence.

Measurable Attribution

We provide structured reporting that quantifies influence and supports accountable distribution frameworks.

LARGEACT AI

Engage the Framework — Request Technical Overview

By submitting, you agree to the collection and use of your personal information.

Engage AI Accountability

Tell us about your AI evaluation needs — whether it involves model learning detection, influence quantification, or attribution architecture.

Structured Evaluation

We assess AI systems through layered probing, parameter extraction, and cross-modal validation to identify measurable learning evidence.

Measurable Attribution

We provide structured reporting that quantifies influence and supports accountable distribution frameworks.

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