We develop “Reha3.0,” an AI application that analyzes sleep-time vital data to identify and visualize individuals at high risk of falls. By classifying fall risk into three levels and issuing alerts only for high-risk individuals, Reha3.0 reduces unnecessary alerts and enables up to an 80% reduction in monitoring workload.
A deep tech startup supporting brain care and cognitive function enhancement. Using CogEvo, developed in collaboration with researchers, we visualize cognitive function and aim to extend working life and healthy life expectancy through training and social implementation.
A startup developing 3D game-based medical devices to comprehensively assess and treat executive function in children with ADHD. By combining game design with neuroscience, it advances digital transformation in healthcare and expands possibilities for supporting diverse children.
On March 2, 2022, Serendix completed Japan’s first 3D-printed house in just 23 hours and 12 minutes. In September 2024, the company built the first unit of the “serendix50,” a home designed for two-person households, in Suzu City, Ishikawa Prefecture. Also in 2024, Serendix began constructing reconstruction housing in Ukraine as part of the “Japan-Ukraine Economic Reconstruction Promotion Conference.” In addition to housing, Serendix is expanding into other areas, including a project in partnership with the JR West Group to build the world’s first 3D-printed train station.
Based on advanced AI technology developed at Kyoto University, we provide services that visualize and predict physical, mental, and psychological states. At its core are two technologies: “Physical and Mental State Prediction Technology through Environmental Factor Analysis” developed by Associate Professor Tsutomu Nishimura of Kyoto University Hospital, and “Psychological State Estimation Technology using Natural Language Processing AI” developed by Assistant Professor Takuya Mori and Associate Professor Nishimura. We deploy AI solutions that estimate loneliness and happiness from text information, enable early detection of risks for school refusal and social withdrawal, and propose optimal support tailored to individual circumstances.
