Where is Algorix Corporation headquartered?

Algorix Corporation is headquartered in Seoul, South Korea. The company has a team of 2-10 people.

What does Algorix Corporation do?

Algorix Corporation operates in the AI Infrastructure sector. South Korean AI data infrastructure startup building a unified multimodal data layer for enterprise AI and agentic systems Unifies structured and unstructured multimodal data scattered across enterprise systems into a single logical layer that AI can read, write, and compute against directly within real business workflows

When was Algorix Corporation founded?

Algorix Corporation was founded in 2024. It is based in Seoul, South Korea.

Who is the CEO of Algorix Corporation?

Donghan Kwon (권동한) is the CEO of Algorix Corporation. The company was founded in 2024.

Where is Algorix Corporation located?

Algorix Corporation is headquartered in Seoul, South Korea.

What funding stage is Algorix Corporation at?

Algorix Corporation is currently at the Seed stage.

How many employees does Algorix Corporation have?

Algorix Corporation has approximately 2-10 employees.

Algorix Corporation

Category: AI Infrastructure

South Korean AI data infrastructure startup building a unified multimodal data layer for enterprise AI and agentic systems Algorix Corporation was founded in 2024. The company is led by Donghan Kwon (권동한). Based in Seoul, South Korea. Team size: 2-10. Latest round: Pre-Seed. Key investors include Kakao Ventures.

Founded: 2024
Headquarters: Seoul, South Korea
Team size: 2-10

Value proposition

Unifies structured and unstructured multimodal data scattered across enterprise systems into a single logical layer that AI can read, write, and compute against directly within real business workflows

Products and solutions

AI Data Engine — a multimodal data integration platform that connects fragmented enterprise data into a unified layer for agentic AI systems, Talos, Relay, Insights (product names from website)

Unique value

Automates the traditionally manual process of connecting disparate data formats (text, tables, images, relational data) so AI can query and process them consistently without switching between separate systems — filling the critical gap between document recognition and data analytics

Target customer

Enterprise clients with highly sensitive data across verticals; companies undergoing AI transformation with fragmented internal data systems

Industries served

Enterprise (initially targeting data-sensitive verticals), plans to expand into APAC and North American markets

Technology advantage

Multimodal data integration engine that handles text, tables, images, and relational data in a single logical layer; cloud-native scalable platform design; AWS software partnership for easy deployment; expertise spanning NLP/LLM, computer vision, MLOps, and cloud infrastructure

How they differentiate

Focuses specifically on the unautomated gap of connecting and structuring fragmented multimodal data for agentic AI, rather than building another document recognition or analytics tool; positions as infrastructure layer rather than a single product

Main competitors

Partridge Systems (파트리지시스템즈), Mind AI (마인드에이아이), Banya AI (반야에이아이), Numeths (뉴메스)

Key partnerships

AWS (planned software partnership for cloud deployment), Kakao Ventures (investor), Oracle Cloud (cloud partnership mentioned on website)

Notable customers

Multiple enterprise clients in proof-of-concept stage (names not disclosed)

Major milestones

Founded June 2024, Pre-seed funding from Kakao Ventures (July 2026), Running PoC projects with multiple enterprise clients, Planning AWS software partnership

Market positioning

Early-stage AI data infrastructure startup in South Korea, targeting the underserved middle layer between document recognition and data analytics — the automated data integration layer for enterprise AI

Geographic focus

South Korea (initial), with plans to expand to APAC and North America

About Donghan Kwon (권동한)

Ran AI transformation projects for large corporations; previously affiliated with Medical Big Data Laboratory at Sungkyunkwan University; research background in Software Engineering, AI, and Medical Big Data

Official website: https://algorix.io