Announced details
Visual inspection in manufacturing, automation of manual inspection processes, reducing reliance on individual expertise, transfer of technical skills, and productivity improvement
理経 has entered into a partnership with M&M Solutions株式会社. POLYGON VISIO is a product planned in-house by 理経, while M&M Solutions株式会社 is responsible for its development, manufacturing and support.
Head office: Ichikawa, Chiba Prefecture. Representative Director and President: Suzuki Taiyo (鈴木太陽). An IT solutions company engaged in web and mobile app development, AI and IoT implementation, Salesforce implementation support, infrastructure maintenance, training, dispatch and placement of IT personnel, and post-implementation consulting. Address: 1-13-8 Konodai, Ichikawa, Chiba Prefecture 272-0827. Capital: ¥5,000,000. Established: 6 July 2022.
From ¥5 million (varies depending on configuration and other factors)
The company does not address Contract Value / Impact on Business Performance.
| Item | Details |
|---|---|
| Names of Products / Services Covered | POLYGON VISIO (Polygon Visio), a semi-packaged visual inspection solution |
| Counterparty | M&M Solutions株式会社 |
| Counterparty overview | Head office: Ichikawa, Chiba Prefecture. Representative Director and President: Suzuki Taiyo (鈴木太陽). An IT solutions company engaged in web and mobile app development, AI and IoT implementation, Salesforce implementation support, infrastructure maintenance, training, dispatch and placement of IT personnel, and post-implementation consulting. Address: 1-13-8 Konodai, Ichikawa, Chiba Prefecture 272-0827. Capital: ¥5,000,000. Established: 6 July 2022. |
| Relationship with the Company | 理経 has entered into a partnership with M&M Solutions株式会社. POLYGON VISIO is a product planned in-house by 理経, while M&M Solutions株式会社 is responsible for its development, manufacturing and support. |
| Offering price | From ¥5 million (varies depending on configuration and other factors) |
| Launch date | 1 October 2026 (scheduled shipping start date) |
| Applicable area | Visual inspection in manufacturing, automation of manual inspection processes, reducing reliance on individual expertise, transfer of technical skills, and productivity improvement |
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.The solution eliminates the need for extensive integration into manufacturing lines, reducing the burden of implementation and enabling deployment in a short period. The stated reasons include automating manual inspections, providing low-cost, short-lead-time AI visual inspection, addressing the challenges of reliance on individual expertise and the transfer of technical skills, and improving productivity.