Led · Equity · Apr 2026

Rapeech develops conversational AI and AI contact center solutions, offering its flagship product ConvAI to help organizations integrate and select among various LLM engines. The company provides end-to-end services for building and operating AI-powered contact centers, including AI consulting, automated callbots, and integration with existing telecommunications networks. Led by CEO Kim Gyeong-hoe and headquartered in Seoul, Rapeech aims to deepen human connections through its technology. Financially, the company has raised a total of KRW 7.5 billion following the recent KRW 1.5 billion round. Rapeech plans to use the latest funding to accelerate development of its integrated AI and network infrastructure solutions.

Led · Seed · Aug 2025

FriendliAI is a Redwood City, CA–based AI inference platform that optimizes inference workloads to reduce infrastructure costs, speed up inference, and simplify LLM production management. The platform supports over 430,000 models on Hugging Face and provides API access to LG AI Research’s EXAONE 4.0 foundation model. Customers include Scatter Lab and Upstage, which use the platform to deliver state-of-the-art inference performance. The company plans to use new funding to expand sales and marketing, scale operations to support new customers, and invest in product development, platform enhancements, and partnerships with key technology providers. Led by CEO and founder Byung-Gon Chun, FriendliAI focuses on helping enterprises deploy and scale AI models efficiently.

Participated · Series A · Jul 2024

딥스마텍 develops a room-temperature polymer thin-film deposition platform that enables functional polymer nano-coatings with properties such as water-repellency, hydrophilicity, and antiviral activity. Its coatings are positioned for use on EV battery separators, food packaging, Gore‑Tex and other substrates that require functional surface layers. The company has won recognition including D.CAMP D‑Day, selection for a deep‑tech TIPS program by 중소기업기술정보진흥원, and selection in LG Energy Solution’s Battery Challenge 2022. 딥스마텍 plans to use the recent funds to build research lab infrastructure and to establish a silicon-anode mass-production plan. Management also intends to pursue concrete joint development projects with large corporates. The firm was founded in August 2022 and has continued progressing since founding.

Led · Series A · Apr 2024

컨텍터스 operates the 둥지 platform, a smart building-management (proptech) solution targeting small- and mid-size buildings lacking specialized systems. The platform centralizes contract management, maintenance requests and status tracking, rent and utility settlement, and all building records and data. It emphasizes proactive facility checks across fire, cleaning, and equipment systems and dispatches specialized personnel from local hubs to resolve issues. 둥지 has recently won customers that include large buildings over 10,000 square meters, accelerating its growth in proptech. The company is developing AI-driven routing for field staff and predictive maintenance models to improve operational efficiency. It plans to further enhance on- and offline building-management services to deepen product capabilities and customer experience. The recent funding will be used to advance the 둥지 platform and customer-experience improvements.

Participated · Series A · Feb 2024

랜식 operates GlucoFit, an AI-driven blood-glucose management solution launched in November 2022 that integrates continuous glucose monitor (CGM) sensors with a dedicated app. Users attach CGM sensors and sync them to the GlucoFit app (currently integrated with Abbott’s FreeStyle Libre; Dexcom G7 integration planned for the first half of this year) to view real-time glucose data without fingersticks. The app records food and lifestyle inputs and uses AI to analyze individual glycemic responses, provide real-time feedback on how foods raise glucose and offer diet adjustment suggestions; it also offers 1:1 consultations with licensed physicians. GlucoFit targets roughly 15 million people in the prediabetes population and consumers seeking healthier weight management, and plans to expand into B2B channels including employee health programs, gyms, and medical clinics. 랜식 plans to use the funding to improve customer acquisition and satisfaction, advance an AI glucose-prediction algorithm that can estimate glucose without CGM, and build large-language-model-driven AI physician feedback to differentiate the service. Management positions the product as a tool for proactive metabolic disease prevention and global scale, citing CGM market growth of about 12% annually.