Opportunity

Saskatchewan Tenders #COR26-00148

RFI: AI-Enabled Road and Concrete Network Inspection Solutions for City of Regina

Posted

April 23, 2026

Respond By

May 21, 2026

Identifier

COR26-00148

NAICS

541330

The City of Regina is seeking vendor input on advanced technologies for road and concrete network inspection and management. - Government Buyer: - City of Regina (Canada) - Products/Services Requested: - AI-enabled solutions for road and concrete network maintenance, inventory management, and condition assessment - Technologies leveraging video and imagery analysis for asset inventory, condition assessment, and deficiency identification - Capabilities requested include: - Data collection methods (e.g., video, imagery) - Automated distress detection and classification - Mapping and data management - Integration with city systems - Predictive analytics for maintenance planning - Inventory management features - Unique/Notable Requirements: - Focus on AI and automation to improve accuracy and repeatability of assessments - Emphasis on integration with existing city infrastructure and systems - Request for indicative pricing and technical capabilities - No specific OEMs or vendors named; open to all qualified providers - This is an RFI (information-gathering only), not a commitment to purchase

Description

The City of Regina is seeking information from qualified vendors regarding current technologies, platforms, and methodologies that support operational maintenance, infrastructure inventory management, and condition assessment for the City’s road and concrete networks. The request focuses on AI-enabled video and imagery analysis to improve asset inventory accuracy, support condition assessments, identify deficiencies, and enhance operational maintenance efficiency. Respondents are asked to provide detailed information on their solutions, including data collection methods, distress detection, mapping, integration capabilities, and predictive analytics. The submission deadline is May 21, 2026, at 2:00 p.m. CST.

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