Announced details
Generative AI, RAG, AI agents, chatbots, AI safety, compliance, and red teaming
The companies entered into a strategic partnership, under which TechMatrix will become a distributor of Elith's products. The partnership covers product provision, implementation and customization support, sharing of expertise and technical validation, and joint marketing.
Headquartered in Bunkyo-ku, Tokyo, and led by President and Representative Director Inoue Koki (井上顧基), Elith is an AI startup that develops AI products for businesses and conducts advanced research, built on a foundation of AI safety and security.
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
| Item | Details |
|---|---|
| Names of Products / Services Covered | GENFLUX Evaluation |
| Counterparty | 株式会社Elith |
| Counterparty overview | Headquartered in Bunkyo-ku, Tokyo, and led by President and Representative Director Inoue Koki (井上顧基), Elith is an AI startup that develops AI products for businesses and conducts advanced research, built on a foundation of AI safety and security. |
| Relationship with the Company | The companies entered into a strategic partnership, under which TechMatrix will become a distributor of Elith's products. The partnership covers product provision, implementation and customization support, sharing of expertise and technical validation, and joint marketing. |
| Contract Date | The disclosure states that sales will begin on 8 October 2026. The specific agreement date is Not disclosed |
| Launch date | 8 October 2026 (sales and shipments scheduled to begin) |
| Applicable area | Generative AI, RAG, AI agents, chatbots, AI safety, compliance, and red teaming |
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.Demand is increasing for evaluating and improving the quality and safety of generative AI responses and managing related risks.