Rainmaking Innovation Japan LLC joins the Common Ground Living Lab Partner Alliance.

Rainmaking Innovation Japan has been successfully running the Startupbootcamp Scale Osaka accelerator program since 2019, and will continue to add value to the startup ecosystem through providing customized services in opportunity mapping, internal innovation, startup pilots and venture building to Japanese corporate partners.

This symposium and signing of the Common Ground Living Lab alliance partnership will mark another milestone in Rainmaking becoming a key player in the development and management of Smart City innovation in Osaka and greater Japan. Osaka, the Ecosystem and the Corporates are evolving to attain new heights through innovation and the appointment as a “global startup city” has driven this motivation further.

he Osaka-Kansai Expo aims to realize "Society 5.0," which is defined as a human-centered society that balances economic development with solutions to social issues. Common Ground is a concept proposed by Keisuke Toyoda, a partner of gluon Inc. and an expert of the People's Living Lab Promotion Council of the Japan Association for the International Exposition 2025. This is an important platform that can become a general-purpose infrastructure for the realization of Society 5.0. It seamlessly connects physical and cyber space in real time by using 3D data of architecture and cities as an index and treating various objects that exist in space as digital information. This system will enable, for example, people and robots to share a common understanding, and will push forward the development of services and applications for smart cities that match the values of various people, such as navigation for robots and autonomous mobility, and services using simulations and AR/VR connected to real space. The Common Ground Living Lab will contribute to the realization of a more affluent urban life and promote a higher quality of life for the greater population of Osaka and Kansai through proof of concepts, and new business implementations.