Announced details
A 2-week validation in JDSC’s product development reduced development effort by 75% while maintaining quality equivalent to the previous level.
Currently being used in projects within JDSC
A service developed and provided by JDSC. It is currently being used in projects within JDSC and is planned for provision to external companies.
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
Japan Users Association of Information Systems, Corporate IT Trends Survey Report 2025
Stack Overflow『2025 Developer Survey』
Results of a 2-week validation in a product development project within JDSC
| Item | Details |
|---|---|
| Names of Products / Services Covered | Co-loop Engine Series, Co-loop Engine “Hayagane”, Co-loop Engine “Aibaton” |
| Relationship with the Company | A service developed and provided by JDSC. It is currently being used in projects within JDSC and is planned for provision to external companies. |
| Launch date | Around January 2027 (planned start of provision to external companies) |
| Applicable area | Software Development, Construction, Research and Development, Digital transformation in government |
| Quantitative Effects | A 2-week validation in JDSC’s product development reduced development effort by 75% while maintaining quality equivalent to the previous level. |
| Usage history | Currently being used in projects within JDSC |
| Source | Japan Users Association of Information Systems, Corporate IT Trends Survey Report 2025, Stack Overflow『2025 Developer Survey』, Results of a 2-week validation in a product development project within JDSC |
Items this document does not state (11)
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.AI creates and audits deliverables at each stage, while people make decisions and approve them at points of responsibility, automating tasks that AI can handle and stopping errors at the stage where they occur.