Acryl Selected as Medical Sector Hub for 'Generative AI Talent Development'... Accelerating Advancement of AI Hospital Infrastructure View original image

Acryl, a company specializing in AX (AI Transformation), has been selected as the lead institution for the medical sector hub in the '2026 Generative AI Talent Development Project' promoted by the Ministry of Science and ICT and the Institute of Information & Communications Technology Planning & Evaluation (IITP).


On May 7, Acryl announced that, through this project, it will pursue the securing of core talent and next-generation technology in the medical AX field over the next four years. The company also stated it will establish a foundation for mid- to long-term growth by advancing its AI Hospital infrastructure.


The project will be run as an industry-academia consortium in a 'hub & spoke' structure, with five universities participating: Seoul National University, Yonsei University, Kyung Hee University, Sungkyunkwan University, and Korea Polytechnic University. The total duration is four years, divided into two phases of two years each. The project budget amounts to approximately KRW 7.25 billion. The principal investigator is Eui-jin Park, CEO of Acryl.


The consortium plans to cultivate more than 160 master's and doctoral-level experts in the medical AX full stack field over four years. At the same time, it will work to secure next-generation core technologies such as lightweight medical AI models, real-time inference technology, synthetic data, VLA (Vision-Language-Action)-based robots, and brain-behavior interfaces.


As the hub institution, Acryl will be responsible for defining industrial challenges at the medical site, providing technological infrastructure, applying solutions in clinical settings, connecting with regulatory processes, and establishing commercialization strategies. The roles of each university have been subdivided: Seoul National University is in charge of lightweight medical AI models; Yonsei University of real-time inference optimization; Kyung Hee University of building a synthetic data pipeline; Sungkyunkwan University of VLA-based medical robot technology; and Korea Polytechnic University of research on brain-behavior interface-based control technology.


Based on this, the consortium plans to establish a medical AX talent development system that bridges education, research, demonstration, and commercialization.


The company explained that being selected for this project is significant because it goes beyond simply carrying out a research assignment; it secures a pipeline of talent and technology that will enable long-term advancement of the medical AX infrastructure. Medical AX is regarded as a field that requires expertise in medical knowledge, AI modeling, understanding of hospital systems, and the ability to respond to medical device regulatory approvals simultaneously.


Industry insiders believe that Acryl, through this project, will be able to build a pool of on-site master's and doctoral-level professionals and establish a system for transitioning outstanding talent to full-time employment. This is expected to reduce the risk of talent shortages that may arise during business expansion.


Although the medical AX industry has high growth potential, it has been pointed out that a lack of specialized talent and operational technology applicable to real hospital environments are major limitations. Differences in electronic medical record (EMR) systems between hospitals, the sensitivity of medical data, complex clinical environments, and medical device regulatory procedures are all areas that are considered difficult to address with general AI technology alone.


According to market research firm Allied Market Research (AMR), the global medical AI market is expected to grow from USD 8.23 billion in 2020 to USD 194.4 billion in 2030, with an average annual growth rate of 38.1%.


Acryl has focused on building AI hospital infrastructure based on its own platforms such as 'ALLM.H,' 'NADIA-ANE,' 'Esther,' and 'JONATHAN.' In addition, the company has accumulated applied AI technology by carrying out various national R&D projects in the medical field, including 'Dr. Answer 3.0,' 'K-ARPA,' and the '2026 Medical AI Data Utilization Voucher Support Project.'


The company plans to use the research outcomes secured through this project to further advance its major medical AX platforms. Through this, Acryl aims to increase the completeness of its AI hospital infrastructure by expanding the scope of application to onboarding medical institutions, optimizing medical AI inference, advancing synthetic data-based models, and covering medical robots and interface fields.


Furthermore, the company expects that the talent and technology accumulated over the four years will serve as a foundation not only for advancing domestic medical AX but also for entering the global market.


Eui-jin Park, CEO of Acryl, stated, "Competitiveness in medical AX cannot be achieved through a single R&D outcome or one-time model announcement. It is a domain that requires the continuous accumulation of talent and next-generation technology over a long period. This project allows Acryl, together with the five universities, to secure the talent and technology necessary to advance the AI hospital infrastructure to the next level."


He went on to say, "Korea, with its world-class EMR adoption rate, national health insurance system, medical check-up data, and advanced clinical trial environment, can serve as a global medical AX incubator nation. We will monitor project progress with key performance indicators (KPIs) on a quarterly basis and share results transparently with the market, thereby simultaneously strengthening Korea's medical AX competitiveness and expanding the foundation for global market entry."



With this project, Acryl plans to accelerate the securing of core talent and next-generation technology in the medical AX field and to strengthen both the advancement of AI hospital infrastructure and the foundation for global market expansion.


This content was produced with the assistance of AI translation services.

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