Announced details
AI-driven development, generative AI product development, and systems development
AWS Japan organized the hackathon. Our subsidiary WhiteBox participated and won first place.
Organizer of AWS Summit Japan 2026 and the hackathon. Other company information is not disclosed.
AWS Summit Japan 2026 AI-DLC Hackathon Grand Prize (first place)
Amazon Web Services Japan G.K. (AWS Japan)
117 teams entered, 15 advanced to the preliminary round, and 5 advanced to the main competition
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
| Item | Details |
|---|---|
| Names of Products / Services Covered | AWS Summit Japan 2026 AI-DLC Hackathon, AWS re:Invent 2026, 0次LAB (DX innovation lab), AI-driven development lifecycle (AI-DLC) |
| Counterparty | Amazon Web Services Japan G.K. (AWS Japan) |
| Counterparty overview | Organizer of AWS Summit Japan 2026 and the hackathon. Other company information is not disclosed. |
| Relationship with the Company | AWS Japan organized the hackathon. Our subsidiary WhiteBox participated and won first place. |
| Launch date | AWS re:Invent 2026 is scheduled to be held at the end of 2026. |
| Applicable area | AI-driven development, generative AI product development, and systems development |
| Award/certification name | AWS Summit Japan 2026 AI-DLC Hackathon Grand Prize (first place) |
| Awarding / certifying body | Amazon Web Services Japan G.K. (AWS Japan) |
| Location scale | 117 teams entered, 15 advanced to the preliminary round, and 5 advanced to the main competition |
Items this document does not state (9)
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.The company explained that WhiteBox’s ability to rapidly prototype generative AI products, the practical deployment of AI development tools across the group, the standardization of development processes through AI-DLC study sessions, and the problem-solving capabilities of the 0次LAB problem-solving lab contributed to the strong results.