News

Selected for AMED Digital Healthcare Development and Implementation Acceleration Project

Selected for AMED Digital Healthcare Development and Implementation Acceleration Project

2025.06.28
News

Airato is pleased to announce that its proposal, “Research on building cost-effectiveness evidence regarding AI software for cancer radiation therapy planning,” has been selected for the Japan Agency for Medical Research and Development (AMED)’s FY2024 “Digital Healthcare Development and Introduction Acceleration Project.”  Going forward, to clarify the cost-effectiveness of the radiation therapy AI software, we […]

Completed first close of pre-series A fundraising of 460 million yen

Completed first close of pre-series A fundraising of 460 million yen

2025.06.26
News

We are pleased to announce that we have raised 460 million yen in the first close of our pre-series A round. In this round, we raised a total of 460 million yen with existing investors Chiiki to Hito to Mirai Co., Ltd. (CJS2), GxPartners LLP, and mint, as well as new investors Nissay Capital Co., […]

Selected for the growth support program “TGA~DeepTech~2025” implemented by Sendai City

Selected for the growth support program “TGA~DeepTech~2025” implemented by Sendai City

2025.06.20
News

AiRato,Inc is pleased to announce that it has been selected for the growth support program “TGA ~ DeepTech ~ 2025”, which was open to applications from the city of Sendai. https://prtimes.jp/main/html/rd/p/000000388.000016557.html Growth Support Program Overview After examining the companies from the perspectives of customer issues, business models, and competitive advantages, seven companies were selected. Going […]

Started collaborative research with Hamamatsu University School of Medicine on “Automated Planning for Prostate Cancer in Radiotherapy”.

2025.06.16
News

“AiRato”and Hamamatsu University School of Medicine have started a joint research project on “Automated Planning for Prostate Cancer in Radiotherapy” in April 2025. Research Content and Objectives In this study, we will develop a technology that can automatically create radiotherapy plans on CT images by analyzing the distribution of radiotherapy plans for prostate cancer patients […]