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Enterprise AI data infrastructure GraphAI Secures KRW 17 Billion Series A


sungho-choo - 2026 August 18

GraphAI, a South Korean enterprise AI data infrastructure company, has closed a Series A round of KRW 17 billion , bringing its cumulative capital raised to KRW 20.6 billion.

The round was led by K2 Investment Partners, with A Ventures and Jiyu Investment joining as new backers. Quad Ventures, Kiwoom Investment, and We Ventures — all of which had invested in GraphAI’s Pre-Series A round in September 2024 — returned with follow-on investments, bringing the total number of participating investors in this round to six.

Founded in 2022 by Kim Min-su, a professor in KAIST’s School of Computing, GraphAI is a Korean company that develops and supplies Akasic, a full-stack AI data platform designed to connect, collect, and transform fragmented enterprise data and support downstream AI inference and agentic AI execution environments. The platform’s core product, AkasicDB, is an AI-native database engine that unifies three distinct database types into one: a graph database for analyzing relationships between entities, a vector database for meaning-based search across unstructured data, and a relational database for structured data — addressing a common pain point where enterprises otherwise need to stitch together separate systems for each function. Given that many enterprise environments cannot allow sensitive data to leave internal infrastructure, GraphAI built Akasic with on-premise deployment supported as a default option, rather than requiring cloud-only operation. The company has already carried out production projects and pilot programs with organizations including South Korea’s Agency for Defense Development, Hanwha Ocean, Hyundai Motor, Hankook Tire, KB Securities, Kiwoom Securities, LG Uplus, and KT, spanning defense, manufacturing, finance, and telecommunications sectors.

GraphAI plans to use the new capital to upgrade the Akasic platform, develop new products slated for launch in the second half of the year, expand into global markets, and recruit R&D talent. The company said it aims to accelerate the conversion of its current pilot-stage projects into full commercial deployments, using technology validated in real-world settings to build a stronger track record for overseas expansion.

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