We are pleased to announce that we have selected the companies for the Open Innovation Challenge TSUBASA, organized by JICA and IDB Lab.
This Open Innovation Challenge began on January 6, 2023 and we received applications from 29 companies with very attractive ideas from the perspective of contributing the achievement of SDGs in the Latin America and Caribbean region.
After our rigorous screening process, 11 companies have been selected as following.
■List of Selected Companies
Name | Representative | Location | Proposed Idea |
RT Corporation | Yukiko Nakagawa | Tokyo | Field robotics for agriculture and food processing industries to reduce manpower and increase efficiency |
Axelspace Corporation | Yuya Nakamura | Tokyo | Utilization of optical satellite image data for SDGs promotion such as environmental monitoring |
Altalena Co., Ltd | Toshimasa Yagi | Hyogo | Support project for carbon minus coffee by carbon platform |
WOTA CORP. | Yosuke Maeda | Tokyo | Advanced housing free from water issues through small-scale decentralized water infrastructure |
Green Carbon,inc. | Jun Okita | Tokyo | Project for carbon credit generation utilizing agricultural land storage in Mexico |
Credit Engine, Inc. | Seiichiro Uchiyama | Tokyo | DX demonstration project in Latin America for upgrading and visualizing debt collection operations through SaaS system and strengthening legal compliance and ethics |
SAKAEGUMI Corporation | Yoshihiro Sasaki | Iwate | Support for extending the life of concrete structures utilizing the crack injection technology |
Sagri Co., Ltd | Shunsuke Tsuboi | Hyogo | Optimization of fertilizer and decarbonization through soil analysis using satellite data |
TOWING Ltd. | Kohei Nishida | Aichi | Soil improvement using high-performance biochar and carbon credit business initiatives |
Melody International Ltd. | Yhuko Ogata | Kagawa | Providing safe and secure environment for pregnancy and delivery for mothers around the world with iCTG, a mobile fetal monitor |
Eukarya Inc. | Kenya Tamura | Tokyo | OSS platform for visualization and analysis of GIS data for disaster prevention and reconstruction |