RFQ-ABU DHABI INFRASTRUCTURE AI ENGINE - DMT
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Source: Abu Dhabi Government Procurement Gateway, UAE
The Department of Municipalities and Transport (DMT) seeks to establish a unified Artificial Intelligence (AI)-enabled Road Infrastructure Intelligence Platform to support the digital transformation of roadway inspection, pavement management, Right-of-Way (ROW) asset management, infrastructure condition monitoring, and predictive maintenance.
The package shall provide an enterprise-wide solution
- Status
- Bidding
- Sector
- Road, Government, Education
- Location
- United Arab Emirates
- Updated
- 3 Nov 2026
- Source
- Abu Dhabi Government Procurement Gateway, UAE
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Tender Information
Participants
| Not available for this record. |
Status
Original status | open |
Taiyo status | Bidding |
Taiyo last update | 2026-11-03 |
Contact
| Not available for this record. |
Description
Description | The Department of Municipalities and Transport (DMT) seeks to establish a unified Artificial Intelligence (AI)-enabled Road Infrastructure Intelligence Platform to support the digital transformation of roadway inspection, pavement management, Right-of-Way (ROW) asset management, infrastructure condition monitoring, and predictive maintenance. The package shall provide an enterprise-wide solution integrating Artificial Intelligence (AI), Machine Learning (ML), Multi-sensors, Geographic Information Systems (GIS), Rapid enterprise incidents detection management, and field mobility applications into a single operational environment. The proposed solution shall enable automated infrastructure assessment while significantly reducing manual inspection activities and improving consistency, repeatability, and operational efficiency. The work shall initially support the assessment of up to 300 km of lane length and shall be designed for future expansion to the complete Abu Dhabi road network. |
Location
Country | United Arab Emirates (UAE) |
Source
Source | Abu Dhabi Government Procurement Gateway, UAE |
URL |
More Details
Record type | Tender |
Sector | Road, Government, Education |
Article published date | 2026-09-15 |
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