Announced details
Climate change adaptation measures, climate risk assessment and adaptation planning for municipalities, measures to address extreme heat, regional climate services
Based on projections of future temperature increases, the AI makes quantitative proposals for the increase in heatstroke cases and the requirements for installing additional green curtains and rest areas. Improved performance in Japanese and English was confirmed compared with the base model. Specific figures and rates: Not disclosed.
1 proof-of-concept case study covering Kumagaya City, Saitama Prefecture
Joint development by a collaborative research team comprising JAMSTEC, Kochi University and Ridge-i Co., Ltd.
JAMSTEC: national research and development agency. Kochi University: national university corporation. Location, representative, capital and year established: Not disclosed.
DOI: https://doi.org/10.1029/2025JH001205
Impact on financial results: Not disclosed
The company does not address Contract Value / Offering price.
Journal of Geophysical Research: Machine Learning and Computation, American Geophysical Union, Climate Change Adaptation Information Platform (A-PLAT), IPCC, d4PDF
| Item | Details |
|---|---|
| Names of Products / Services Covered | Regional climate-focused large language model (LLM) / regional climate service |
| Counterparty | Japan Agency for Marine-Earth Science and Technology (JAMSTEC), Kochi University |
| Counterparty overview | JAMSTEC: national research and development agency. Kochi University: national university corporation. Location, representative, capital and year established: Not disclosed. |
| Relationship with the Company | Joint development by a collaborative research team comprising JAMSTEC, Kochi University and Ridge-i Co., Ltd. |
| Applicable area | Climate change adaptation measures, climate risk assessment and adaptation planning for municipalities, measures to address extreme heat, regional climate services |
| Registration number and expiry date | DOI: https://doi.org/10.1029/2025JH001205 |
| Quantitative Effects | Based on projections of future temperature increases, the AI makes quantitative proposals for the increase in heatstroke cases and the requirements for installing additional green curtains and rest areas. Improved performance in Japanese and English was confirmed compared with the base model. Specific figures and rates: Not disclosed. |
| Usage history | 1 proof-of-concept case study covering Kumagaya City, Saitama Prefecture |
| Impact on Business Performance | Impact on financial results: Not disclosed |
| Source | Journal of Geophysical Research: Machine Learning and Computation, American Geophysical Union, Climate Change Adaptation Information Platform (A-PLAT), IPCC, d4PDF |
Items this document does not state (8)
These are items the company does not state in this document. We do not leave them blank, nor fill them in from other sources or by inference.
The reasons the company gives
The company's own explanation, not something inferred from the numbers.Local governments and small and medium-sized enterprises lack the specialized knowledge and data analysis capabilities related to climatology, regional industries and public policy, as well as the personnel and financial resources needed to formulate adaptation plans.