AI startup Trillion Labs announced on the 5th that it has been selected as the development organization for the "AI Specialized Foundation Model Project," a national strategic project promoted by the Ministry of Science and ICT. This project aims to build the world's first medical science-specific foundation model (FM). Led by Lunit, the project involves a consortium formed by major domestic AI and bio companies, including Trillion Labs.
The project name is 'Development of a Multi-Scale Medical Science Specialized Foundation Model for Full-Cycle Medical Science Innovation from Molecules to Population', and the goal is to connect full-cycle medical data, including molecules, proteins, omics (integrated data related to life phenomena such as genomes and proteomes), pharmaceuticals, and clinical data, into a single AI model.
Within the consortium, Trillion Labs is responsible for the design and development of the Foundation Model's core engine and learning structure. Building on its experience developing large-scale language models with 7 to 70 billion parameters and its proprietary Cross-lingual Document Attention (XLDA) technology, Trillion Labs plans to build an AI model capable of efficiently learning large-scale medical data and reliably making inferences.
We are also participating in the development of the "Co-Scientist (Bio-Medical Co-Scientist, BMCS)" system, a key pillar of this project. This system is an intelligent research partner platform that enables researchers, clinicians, and pharmaceutical companies to generate and validate hypotheses in real time with AI. Trillion Labs developed the core engine for Co-Scientist, automating research processes such as target exploration, patient group analysis, and clinical hypothesis design and documentation.
In particular, by applying 'Chain of Evidence' technology, the reliability and reproducibility of results are increased by linking the basis of AI-generated answers to guidelines, clinical trials, labels, and real-world data.
Trillion Labs is also building an on-premise healthcare AI environment in collaboration with Rebellion, a domestic NPU (neural processing unit) company. This will provide a learning and inference infrastructure that secures healthcare data sovereignty while simultaneously offering security and high-performance computing capabilities.
This consortium, hosted by Lunit, includes seven companies, including Trillion Labs, Izen Science, SK Biopharmaceuticals, Kakao Healthcare, Standigm, Rebellion, and Dcircle, as well as six research teams led by professors from KAIST and Seoul National University, and nine medical institutions, including the National Health Insurance Service Ilsan Hospital. The total project cost is approximately 18.2 billion won, with the government providing approximately 17.4 billion won in GPU infrastructure resources. The second phase of research and development will be conducted until September of next year.
“This project goes beyond simply developing a new AI model; it will be a technological turning point that will allow Korea to secure global competitiveness in medical AI and science and technology in general,” said Jae-min Shin, CEO of Trillion Labs. “We will open a new research and clinical paradigm where AI collaborates with people by building a highly reliable and highly efficient foundation model that can be utilized by researchers, hospitals, and industries together.”
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