GraphAI Secures 17 Billion Won in Series A Funding to Expand AI-Native Multi-Model Database

Дата публикации: 14-08-2026 18:21:26

Enterprise AI data infrastructure company GraphAI announced on Aug. 13 that it secured 17 billion won in a Series A funding round, bringing its cumulative funding to 20.6 billion won.The funding round was led by K2 Investment Partners, with new investors A-Ventures and Jiyu Investment participating.

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Enterprise AI data infrastructure company GraphAI announced on Aug. 13 that it secured 17 billion won in a Series A funding round, bringing its cumulative funding to 20.6 billion won.

The funding round was led by K2 Investment Partners, with new investors A-Ventures and Jiyu Investment participating. Quad Ventures, Kiwoom Investment and We Ventures, which previously invested in GraphAI's pre-Series A round in September 2024, also joined as follow-on investors.

GraphAI offers the Akasic platform, a full-stack solution that manages the entire data pipeline from connecting and collecting fragmented enterprise data to transformation, AI inference and an execution environment for agentic AI. Its flagship product, AkasicDB, is an AI-native database management system (DBMS) that unifies a graph database for relationship analysis, a vector database for semantic search of unstructured data, and a relational database for structured data processing.

According to GraphAI, AkasicDB demonstrated performance up to 142 times faster than existing graph databases in the LDBC Social Network Benchmark (LDBC SNB). In internal evaluations against the global vector database Milvus, AkasicDB delivered over four times the queries per second (QPS) at equivalent accuracy levels.

Furthermore, its hybrid retrieval-augmented generation (RAG) technology—capable of executing graph, vector and relational searches through a single query—improved response accuracy by up to 78% compared to conventional RAG, based on joint research with the Korea Advanced Institute of Science and Technology (KAIST). GraphAI noted these findings were presented at ACM SIGMOD 2026, a premier international database conference. KAIST separately confirmed that research led by Professor Min-Soo Kim of KAIST and GraphAI successfully developed AkasicDB by combining vector, graph and relational database capabilities into a unified engine.

GraphAI is currently executing business and proof-of-concept (PoC) projects with major enterprises and institutions across defense, manufacturing, finance and telecommunications. Key partners include the Agency for Defense Development (ADD), Hanwha Ocean, Hyundai Motor, Hankook Tire & Technology, KB Securities, Kiwoom Securities, LG Uplus and KT. The company noted that its robust on-premises deployment support has accelerated adoption in sectors with strict data governance, such as defense and finance.

GraphAI plans to allocate the newly secured capital toward advancing the Akasic platform, launching new product lineups slated for the second half of the year, expanding into global markets, and recruiting core R&D talent. Founded in 2022 by KAIST School of Computing Professor Min-Soo Kim, the company operates globally under the name GraphAI Co., Ltd.

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