Announced details
Corporate operations, enterprise AI use, development, design changes, production environment-related work, authentication and billing, and corporate AI adoption
Based on 6,540 actual usage logs from 10 August to 25 August 2026, usage fees with routing by Flauro were US$232.51. The estimated cost of processing the same requests entirely with a high-performance model was US$3,581.45, making the cost approximately 1/15.4.
6,540 actual usage logs from 10 August to 25 August 2026
株式会社オルクストラAI is iRidge, Inc.’s consolidated subsidiary and is responsible for developing and providing Flauro.
Patent application filed (number and expiry: Not disclosed)
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
オルクストラAI WhitePaper, “How Far Can Cheaper Models Be Used?” (scheduled for publication in September 2026), based on the company’s own research (as of August 2026)
| Item | Details |
|---|---|
| Names of Products / Services Covered | Flauro (フラウロ), AI orchestration platform |
| Relationship with the Company | 株式会社オルクストラAI is iRidge, Inc.’s consolidated subsidiary and is responsible for developing and providing Flauro. |
| Launch date | 26 August 2026 (offering commenced; actual) |
| Applicable area | Corporate operations, enterprise AI use, development, design changes, production environment-related work, authentication and billing, and corporate AI adoption |
| Registration number and expiry date | Patent application filed (number and expiry: Not disclosed) |
| Quantitative Effects | Based on 6,540 actual usage logs from 10 August to 25 August 2026, usage fees with routing by Flauro were US$232.51. The estimated cost of processing the same requests entirely with a high-performance model was US$3,581.45, making the cost approximately 1/15.4. |
| Usage history | 6,540 actual usage logs from 10 August to 25 August 2026 |
| Source | オルクストラAI WhitePaper, “How Far Can Cheaper Models Be Used?” (scheduled for publication in September 2026), based on the company’s own research (as of August 2026) |
Items this document does not state (10)
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.To reduce AI usage costs while maintaining quality, security and business continuity by automatically routing requests to different AI models according to the nature of the work and associated risks, and using lower-cost models as appropriate.