From Language Learning To Industry-Specific Solutions, Meet The Innovators On The 30 Under 30 Consumer And Enterprise Technology List
Publish Date: 2026-05-27 17:15:00
Source Domain: www.forbes.com
This year’s tech entrepreneurs are tailoring software and hardware to deliver more efficient and affordable solutions for consumers and enterprises alike.
In 2018, Jihyun Kim was studying software engineering as a freshman at Kyung Hee University in Suwon, just south of Seoul, when the launch of a faster and more accurate computer vision algorithm grabbed her attention. A year later, she took a break from studies to launch Korea Deep Learning, an enterprise AI startup focusing on computer vision, enlisting her younger brother, Donghyun, then a high school student, to help her.
Kim is one of the entrepreneurs on Forbes 30 Under 30 Asia: Consumer & Enterprise Technology list developing tools and solutions for both enterprises and consumers alike.
Since its launch, the Seoul-based firm has evolved into developing AI agents to analyze business documents like invoices and contracts, and automate repetitive tasks such as evaluating loan applications, which it says helps slash monthly document-processing time by up to 96%. It boasts a client roster of over 80 government organizations and companies, including Hyundai Capital, Hyundai’s financing arm, and LG CNS, the IT affiliate of LG Group.
In March, Korea Deep Learning’s proprietary AI model got the highest score in the OCRBench v2 multimodal benchmark for text-centric tasks in English—an open-source measure for evaluating Large Multimodal Models that can understand text, images and sounds—outperforming giants such as Nvidia and Google. “While the big AI companies were developing general models that can do everything, we focused on building one that is specifically good at reading documents, which is what many businesses need,” says Kim, who runs the firm as CEO with her brother as chief strategy officer. In December, the AI entrepreneur, who has yet to return to university, raised $8 million in a Series A funding round from Korean VC firms.
While the big AI companies were developing general models that can…
