Overview - chat,call

UNICE will develop a core AI technology called “Areum,”

which will undergo training with a medical knowledge database as well as facial and voice analysis engines. For instance, our plan includes matching patient symptom data—gathered by UNICE’s medical professionals and around 200 specialist doctors—with emotional analysis, thereby improving accuracy and reliability.

UNICE will strive to deeply understand each user. To achieve this, we will need to finely adjust the settings of our emotion-analysis engine, which uses chat content, voice, and facial expressions, for each individual. While initial default parameters may be derived from large sample averages, individual differences will inevitably occur. We believe we will need user cooperation to reduce the margin of error to medical sample standards and generate meaningful data.

Areum will be capable of making these adjustments by optimizing emotional settings based on users’ chat inputs, voice data, and facial expressions. In doing so, we plan to gain a deeper understanding of each user and apply insights to produce valuable data that genuinely supports user health and well-being.

Moreover, our goal will be to establish a sustainable business model, not just simple deployment. With user participation, we will set up a Unice-user Classification System (UTS) and evolve the UNICE ecosystem into an attractive platform for diverse stakeholders.