Announced details
Mitsubishi Research Institute and PKUTECH jointly developed AI Memory RAG. No information is provided regarding capital or personnel relationships.
Head office: 7th floor, RBM Kanda Building, 3 Kanda-Nishifukudacho, Chiyoda-ku, Tokyo. President and Representative Director: Liu Shenkyo (劉 甚秋). Business activities: AI and data analytics; multicloud infrastructure and security; low-code development platforms. Capital: ¥97.5 million. Established: February 2007.
Patent pending (number, filing date and expiry date: Not disclosed)
In this announcement the company addresses none of Contract Value / Offering price / Impact on Business Performance.
| Item | Details |
|---|---|
| Names of Products / Services Covered | AI Memory RAG, Intelligence Platform, Egeria-AI Memory RAG, Egeria series |
| Counterparty | PKUTECH Co., Ltd. |
| Counterparty overview | Head office: 7th floor, RBM Kanda Building, 3 Kanda-Nishifukudacho, Chiyoda-ku, Tokyo. President and Representative Director: Liu Shenkyo (劉 甚秋). Business activities: AI and data analytics; multicloud infrastructure and security; low-code development platforms. Capital: ¥97.5 million. Established: February 2007. |
| Relationship with the Company | Mitsubishi Research Institute and PKUTECH jointly developed AI Memory RAG. No information is provided regarding capital or personnel relationships. |
| Applicable area | News monitoring and intelligence analysis, Development management and meeting-minutes management, Knowledge transfer, Inquiry-response support |
| Registration number and expiry date | Patent pending (number, filing date and expiry date: Not disclosed) |
Items this document does not state (12)
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 enable analysis and responses that take into account ongoing changes in information, past discussions and the background to changes, as well as relationships between events, which were difficult to address with conventional RAG, thereby supporting rapid and appropriate decision-making.