Participated · Series A · Aug 2026

GraphAI builds enterprise AI data infrastructure and operates the Akasic platform, which covers data connection, collection, transformation, AI inference, and agentic AI execution environments. The company is engaged in partnerships and proofs-of-concept with large customers in the financial and telecommunications sectors. GraphAI recently closed a $12 million Series A, bringing total funding to 20.6 billion won (about $14.7 million). It plans to use the new funding to introduce new product lines, expand into global markets, and strengthen its core R&D team. No revenue or user metrics were disclosed in the provided article.

Participated · Series B · May 2026

Featuring builds influencer marketing solutions and enterprise social data analytics platforms using a proprietary data engine called Featuring AI. The company serves nearly 16,000 clients and reported annual revenue of 9.6 billion won last year, its strongest performance to date. Founded in 2019, Featuring created a Japanese subsidiary last year and is pursuing Korea–Japan cross-border marketing and local network expansion. Management plans to develop vertical AI agents to automate end-to-end influencer marketing operations and to hire key talent to support that growth. Featuring is also considering acquisitions or mergers with local Japanese firms as part of its international expansion strategy.

Participated · Series A · Apr 2026

Dnotitia develops an AI storage stack centered on Seahorse, a vector database, and VDPU, a dedicated vector data processing semiconductor. In March the company unveiled an AI Storage Strategy to integrate external knowledge, long-term memory, and working memory. Seahorse received Korea’s top-grade GS software certification in January and Seahorse Cloud was launched as a SaaS offering in March. Dnotitia describes VDPU as a purpose-built chip for accelerating vector data search and processing and is preparing it for commercialization. The company plans to use its recent Series A proceeds to improve cloud and on‑premises products, commercialize VDPU, expand globally, and hire key talent. Dnotitia is also moving forward with IPO preparations, naming Korea Investment & Securities and Shinhan Securities as joint lead managers.

Participated · Series B · Feb 2026

BreezeBio, formerly GenEdit, engineers polymer-based NanoGalaxy nanoparticles that deliver genetic payloads such as mRNA with cell-type precision across immune, cardiac, pulmonary and central nervous system tissues. The company has shifted from being solely a delivery-technology provider to building a therapeutic pipeline concentrated on autoimmune disease and oncology. Its lead candidate, BRZ-101, delivers autoantigen-encoding mRNA and tolerogenic co-factors to antigen-presenting cells to induce antigen-specific regulatory T cells and aims to restore immune tolerance in type 1 diabetes; the program is now entering IND-enabling studies after positive preclinical results in mice and non-human primates. BreezeBio is also extending NanoGalaxy with ligand conjugation to reach T cells and enable in vivo CAR-T therapies. Beyond internal programs, the firm maintains a multi-year collaboration and licensing agreement with Genentech that has already produced an initial milestone payment. The recent financing strengthens its balance sheet, allowing continued platform expansion and clinical advancement of its pipeline.

Participated · Series A · Nov 2025

Redrob develops a full-stack AI infrastructure that spans proprietary foundation models and end-user applications for functions such as HR, sales, and productivity. Its technical approach—combining Mixture of Experts architecture, aggressive distillation, and quantization—delivers roughly 90 % of flagship model performance at about 5 % of the cost, enabling a 20× price reduction versus incumbents like ChatGPT Pro. The company operates out of San Francisco, New York, New Delhi, Mumbai, and Seoul with a 100-person team. Redrob already serves 3 million users across 500 Indian universities and has generated $7 million in annual recurring revenue, validating its free-to-student, B2C-to-B2B conversion strategy. Graduating students act as internal champions, driving enterprise adoption when they enter the workforce. Looking ahead, management aims to become the world’s third-largest LLM platform by monthly active users by 2028 while deepening penetration of the U.S. enterprise market. The startup positions itself as the “Android to ChatGPT’s iPhone,” emphasizing global accessibility alongside sustainable enterprise economics.