Algorix
5 known investors
Algorix provides AI research and development services spanning NLP, generative AI, computer vision, and audio processing, as well as cloud infrastructure and digital platform design for enterprise clients.
Also known as Algorix Corp. · Algorix Corporation
Investors · 5
Also in the syndicate · 4
Company profile
researched Aug 2026Algorix Corp. (algorix.io) is a South Korean company operating across enterprise AI data infrastructure, cloud transformation and digital service delivery. Its flagship offering is the Akasic platform, described as full-stack AI data infrastructure covering connectivity to fragmented enterprise data, collection and transformation, AI inference, and agentic AI execution. The platform's core product, AkasicDB, is an AI-native database engine that unifies graph, vector and relational databases in a single system. The broader product thesis is a unified multimodal data layer that automatically connects disparate text, table and image formats so AI systems can process information directly inside business workflows, positioned beneath rather than on top of enterprise AI applications.
Alongside the platform, the company presents three business units on its own site: digital transformation (business strategy, user experience and platform build-out from planning through implementation), cloud (architecture design, on-premise-to-cloud migration, hybrid infrastructure construction and operational optimization, supported by cloud partnerships including AWS DSA and Oracle Cloud), and research and development spanning NLP/LLM, computer vision, audio, generative AI, unstructured-data ETL pipelines and MLOps. The company states it operates its own on-premise GPU farm for R&D, maintains an industry-academic cooperation network that allows use of university and research-institute resources for very large model training, and employs a master's- and doctorate-level talent pool.
Algorix also maintains a public GitHub organization (algorix-hq) with a small number of repositories, including dealcode, an implementation of FF1 format-preserving encryption (NIST SP 800-38G) with seven bit-identical language implementations, and a canonical AGENTS.md convention for agentic-AI collaboration used across its repositories.
Founding story
Reporting on the August 2026 Series A states Algorix was founded in 2022 by Minsoo Kim, a professor of computer science at KAIST, who serves as CEO. Coverage of the July 2026 pre-seed round identifies CEO Donghan Kwon and Chief Scientist Suho Noh as founders.
Business model
Algorix sells AI data infrastructure software to enterprises and public institutions, complemented by services in digital transformation, cloud migration and hybrid infrastructure, and AI research and development. Deployment includes an on-premise model, which the company cites as enabling adoption in data-sensitive environments such as defense and finance where external data transfer is restricted. A software partnership with AWS was planned to enable direct deployment into cloud environments.
Enterprise software platform sales, including on-premise deployments, together with project-based digital transformation, cloud infrastructure and AI research and development services; the company is working to convert pilot deployments into full production contracts.
Traction
The company reports production and pilot projects with clients and institutions including the Agency for Defense Development, Hanwha Ocean, Hyundai Motor Company, Hankook Tire, KB Securities, Kiwoom Securities, LG Uplus and KT. Technical validation includes LDBC SNB benchmark results, an internal comparison against Milvus, and joint research with KAIST presented at ACM SIGMOD 2026. Total disclosed funding stood at $14 million (KRW 20.6 billion) as of August 2026.
Latest developments
On 14 August 2026 Algorix announced an $11.5 million (KRW 17 billion) Series A led by K2 Investment Partners, with A Ventures and GU Equity Partners as new investors and follow-on participation from Quad Ventures, Kiwoom Investment and We Ventures, taking total funding to $14 million. Proceeds are directed at advancing the Akasic platform, launching new products in the second half of the year, global expansion and R&D hiring. A month earlier, in July 2026, the company was reported to have raised pre-seed funding from Kakao Ventures while running enterprise proof-of-concept projects and planning an AWS software partnership.
▸Full profile — market position, technology, go-to-market, geography, history, risks & controversies
Market position
The company positions itself at the infrastructure layer of enterprise AI in South Korea, supplying the underlying database and data layer rather than end-user AI applications. An investor at K2 Investment Partners framed the company against the government's June national security innovation company initiative (the so-called "K-Palantir" strategy), noting few domestic cases in which the underlying database layer is secured with local core technology.
Algorix emphasizes a single engine combining graph, vector and relational data with hybrid RAG executed in one query, benchmark and peer-reviewed validation of that engine, and an on-premise deployment option for closed-network and data-restricted environments such as defense and finance. The company also cites large-scale build and operations experience, an in-house GPU farm and academic collaboration as the basis for customized AI delivery.
Technology
The Akasic platform spans enterprise data connectivity, collection and transformation, AI inference and agentic AI execution. AkasicDB unifies graph, vector and relational databases in one engine and, per the company, recorded processing performance up to 142 times faster than existing graph databases on the international LDBC SNB benchmark and more than four times the queries per second of the Milvus vector database at equivalent accuracy in an internal evaluation. Its hybrid retrieval-augmented generation approach executes graph, vector and relational search within a single query and showed up to 78 percent higher answer accuracy than conventional RAG in joint research with KAIST, with results presented at ACM SIGMOD 2026. Supporting capabilities include unstructured-data ETL pipelines, NLP/LLM, computer vision, audio and generative AI, MLOps, and an in-house GPU farm for research.
Go-to-market
Algorix engages customers through proof-of-concept and pilot deployments with enterprise clients and institutions, aiming to convert pilots into full production contracts, and supports both open and closed-network environments. It planned a software partnership with AWS for direct cloud deployment and holds cloud partnerships including AWS DSA and Oracle Cloud. Series A proceeds were earmarked for platform advancement, new products slated for the second half of the year, international expansion with reference customers, and R&D recruitment.
Enterprises and public institutions with large, fragmented and often sensitive data estates, including defense, manufacturing, finance and telecommunications organizations, as well as enterprise clients seeking cloud migration, hybrid infrastructure and custom AI research and development.
Geography
Headquartered in South Korea, with pilot and production work concentrated among Korean enterprises and public institutions; the company states plans to expand into global markets and build international reference customers.
History
Quad Ventures, Kiwoom Investment and We Ventures participated in a pre-Series A round in September 2024. In July 2026 the company was reported to have secured pre-seed funding from Kakao Ventures for its unified enterprise AI data layer, and in August 2026 it announced an $11.5 million Series A led by K2 Investment Partners, bringing total funding to $14 million.
Risks & controversies
Public reporting describes divergent founder and founding details between the July 2026 pre-seed coverage (CEO Donghan Kwon and Chief Scientist Suho Noh) and the August 2026 Series A coverage (founded 2022 by KAIST professor and CEO Minsoo Kim). Coverage of the pre-seed stage characterized the company as pre-revenue and POC-stage with dependency on a planned cloud partnership, and several performance figures cited are from internal evaluation rather than independent testing.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 4
launches, deals, and filingsAlgorix raised $11.5 million (KRW 17 billion) in a Series A led by K2 Investment Partners, with A Ventures and GU Equity Partners joining and Quad Ventures, Kiwoom Investment and We Ventures following on, bringing total funding to $14 million.
$11.5M source ↗
Algorix secured undisclosed pre-seed funding led by Kakao Ventures to accelerate product development and go-to-market for its unified multimodal data layer for enterprise AI.
The company reported it was planning a software partnership with AWS to enable direct deployment of its platform into cloud environments.
Joint research with KAIST on hybrid RAG combining graph, vector and relational search in a single query was presented at ACM SIGMOD 2026.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 8
primary sources listed
- Algorixalgorix.io · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Algorix do?
- South Korean enterprise AI data infrastructure company building the Akasic multimodal data layer and AkasicDB database engine.
- Who are Algorix's investors?
- Algorix's investors include Kakao Ventures.