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Study on a Physical AI Execution Environment for Developing a Multimodal Data Ecosystem and Advancing Surgical Robotic Autonomy 1 Set

Sector: Education • Location: Hyogo, Japan

Source: Japan External Trade Organization (JETRO)

Tender
Prospective

Classification of the products to be procured : 1 Nature and quantity of the services to be required : Study on a Physical AI Execution Environment for Developing a Multimodal Data Ecosystem and Advancing Surgical Roboti Autonomy Set Expected date of the contract award : 1 December, 202 Reasons for the use single tendering procedures as provided for in the Agreement on Government Procurement : b

Status
Prospective
Sector
Education, Government
Location
Hyogo, Japan
Updated
3 Nov 2026
Source
Japan External Trade Organization (JETRO)

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The tender “Study on a Physical AI Execution Environment for Developing a Multimodal Data Ecosystem and Advancing Surgical Robotic Autonomy 1 Set” is a tender record in Taiyo, linked to the Education sector. It is issued for works, goods, or services related to Hyogo, Japan.

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Not available for this record.

Status

Original status

prospective

Taiyo status

Prospective

Taiyo last update

2026-11-03

Contact

Not available for this record.

Description

Description

Classification of the products to be procured : 1 Nature and quantity of the services to be required : Study on a Physical AI Execution Environment for Developing a Multimodal Data Ecosystem and Advancing Surgical Roboti Autonomy Set Expected date of the contract award : 1 December, 202 Reasons for the use single tendering procedures as provided for in the Agreement on Government Procurement : b "Absence of Competition for Technical Reasons" Contact point for the notice : IWATA Tomoya, Contract Affairs Section, Financial Management Division, Kobe University Hospital, 7-5- Kusunoki-cho Chuo-ku Kobe-shi 650-001 Japan, TEL 078-382-5105

Location

Country

Japan

State

Hyogo

Source

Source

Japan External Trade Organization (JETRO)

URL

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Record type

Tender

Sector

Education, Government

Article published date

2026-11-03

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