Korea Deep Learning Raises $8.3M Series A to Expand beyond Document Automation into Workflow Automation


Korea Deep Learning, a Korean startup developing enterprise vision AI solutions for public and corporate sectors, has secured $8.3 million (12 billion KRW) in Series A funding.

The round was led by Translink Investment with SV Investment as a key co-investor. Korea Development Bank (KDB) closed the round with a $3.5 million (5 billion KRW) investment, following earlier participation from Industrial Bank of Korea(IBK). KDB’s investment represents over 40% of the total funding amount.

Until now, Korea Deep Learning has grown primarily through revenue, without external funding beyond a $70,000 (100 million KRW) TIPS program investment from Gyeonggi Center for Creative Economy & Innovation. This Series A marks the company’s first major capital raise since its founding.

KDB decided to invest based on Korea Deep Learning’s proven commercialization capabilities. The company has secured over 80 clients across public institutions, finance, and healthcare, generating cumulative revenue of $6.9 million (10 billion KRW). Its document understanding AI model, which interprets both visual structure and linguistic meaning, offers differentiation in the market. The company’s productization strategy—enabling deployment within two weeks without additional data collection or training—demonstrated scalability for enterprise customers, which was a key factor in the investment decision.

With this funding, Korea Deep Learning plans to expand beyond document automation into workflow automation in 2026. The company will develop AI agents that automatically design and execute subsequent tasks based on data extracted from documents, operating within defined rules and verification systems to ensure reliable performance in actual business environments.

The investment will be concentrated in six key areas. First, the company will advance AI technology for accurate document understanding and build systems that automatically process follow-up tasks based on extracted information. It will strengthen execution rules and verification frameworks to ensure AI operates stably in real business settings.

The company will also invest in optimizing AI processing speed and costs, enhancing model development and operations, and meeting enterprise requirements including security and access management. Industry-specific product development, localization for global market entry, and partnership expansion are also planned. The company will strengthen its system connecting technology development to actual product operations through core talent acquisition.

Korea Deep Learning will expand industry-specific workflow automation pilots in the first half of 2026 and refine verification systems for stable AI agent operation. In the second half, the company plans to officially launch its document AI agent product that performs judgment, processing, and integration within documents.

A Translink Investment representative said the company has already validated its technology commercialization capabilities by securing substantial revenue and clients. “Document AI has significant potential to grow into core infrastructure technology spanning public and private sectors, and we believe it can be sufficiently competitive in global markets, which is why we led this investment,” they added.

Jihyun Kim, CEO of Korea Deep Learning, stated that this Series A closing marks a turning point from “AI that reads documents” to “AI that completes work through documents.” “Korea Deep Learning will expand beyond document automation into workflow automation, implementing AI agents that operate reliably within rules and verification systems in enterprise environments,” Kim said.

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