Experix to Collaborate with Professor Oh Sungjun of University of Tuebingen on "Trustworthy Medical LLM" Joint Research

Experix, a company specializing in digital identity verification and AI-based solutions, announced on July 17 that it has agreed to pursue joint research and development of a "scalable and trustworthy AI-based healthcare large language model (LLM)" with the research team of Professor Oh Sungjun at the University of Tuebingen in Germany.

The company explained that this collaboration marks a turning point for Experix, as it moves beyond being a simple investor in the AI market to becoming a technology developer and service provider. In particular, Experix aims to complete the "AI full value chain" by leveraging the hardware competitiveness it secured through its strategic investment in AI semiconductor (NPU) design company FuriosaAI, expanding this into software capabilities such as LLM core technology, and connecting these to high value-added fields like medical healthcare services.

Professor Oh Sungjun, who is leading the joint research, is the head of the "Scalable Trustworthy AI (STAI)" research group at the University of Tuebingen. He previously studied mathematics at the University of Cambridge and earned his doctorate at the Max Planck Institute. He also worked as a research scientist at Naver AI Lab and participated in the development of the flagship large language model "HyperClova," making him a leading expert in this field. In particular, his research has focused on ensuring the "explainability" and "robustness" of AI-generated results, which are considered core technologies for improving AI reliability in the medical field, where even minor errors can be fatal.

Under the leadership of its AI Business Division, Experix plans to introduce healthcare-specialized AI solutions, ranging from analytical solutions based on precision medical data to the development of patient-tailored digital therapeutics (DTx), starting with this joint research.

Yoon Sangcheol, CEO of Experix, emphasized, "Ultimately, the success or failure of medical AI depends on 'trust.' Through collaboration with a world-renowned scholar, we have established a foundation to secure both technical reliability and scalability, enabling us to introduce competitive AI solutions in the global healthcare market."