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 A · Aug 2026

Whif is an interactive content platform that enables users to form relationships with AI characters and generate evolving narratives through conversation, with anyone able to create and share characters. The service emphasizes relationship- and story-driven interactions rather than predetermined question-and-answer responses, positioning users as creators as well as consumers. Launched in mid-2025, Whif achieved rapid growth: paying users average 217 minutes of daily engagement, payment volume grew at an average monthly rate of 110% over nine months, and monthly revenue expanded 1,000-fold within a year. Whif operates in 13 countries and derives roughly 40% of revenue from overseas markets, targeting over 60% by year-end. The company plans to move the product into a multimodal phase—integrating images and video and extending characters into IP like webtoons, videos, and games—and is expanding headcount across development, planning, design, and marketing to support these plans.

Participated · Series B · Mar 2026

ActionPower leverages internally-built multimodal AI models capable of processing voice, text, and images to boost productivity across B2C and B2B markets. Its flagship consumer product, Daglo, recorded nearly 4× year-over-year revenue growth and has processed a cumulative 13 million hours of voice data (as of 2025). On the enterprise side, the company’s revenue expanded about 40 % year-over-year, aided by support for both on-prem and cloud deployments. Core customers include DB Life Insurance, Hancom, Daegu City Hall, Seoul National University Hospital, and KT Skylife. ActionPower claims more than 70 domestic and international patents and multiple publications in global AI journals that validate its personalization and high-performance embedding technologies. Management plans to evolve its solutions from simple task automation toward decision-supportive AI agents and to accelerate international expansion using the fresh capital. Cumulative funding for the company now exceeds ₩20 billion (≈US $15 million).

Participated · Series A · Dec 2025

Founded in 2018, Glovv offers a solution that creates emotion-driven, information-based, and visit-style reels tailored for beauty brands. The company issues free advertising codes so clients can amplify marketing reach without extra spend and supplies both original and clean versions of each reel for versatile use. Glovv has signed contracts with more than 1,500 brands and claims to be the fastest-growing player and market leader in beauty-reel production in Korea. It underscores its core strength as focusing only on what customers want, which has translated into rapid market adoption. Seeking further growth, Glovv plans to expand into the U.S. market in early next year and collaborate with local beauty brands. The firm recently marked its first-anniversary seminar, drawing 1,000 beauty-brand professionals and 100 venture investors, highlighting its industry traction. Financially, Glovv bolstered its balance sheet with a ₩3 billion Series A round in August backed by multiple institutional investors.

Participated · Series C · Nov 2023

Habit Factory develops AI-powered software that automates and optimizes key insurance and financial services workflows. Its flagship product, Signal Planner, allows users to analyze existing life and non-life insurance policies, manage billing, and receive personalized coverage recommendations by leveraging proprietary data models. By reducing manual effort and enhancing accuracy, the platform aims to lower operating costs for insurers and improve customer experience. Looking ahead, the company plans to expand into the U.S. mortgage sector and Japan’s insurance market, leveraging the fresh capital to support these initiatives. Habit Factory is also gearing up for an initial public offering (IPO), suggesting a move toward the public markets in the near future. Although specific revenue or user figures were not disclosed, the completion of a sizeable Series D round indicates continued investor confidence in its growth trajectory.