Contribution: Industrial Research Assistance Program – Contributions to Firms
CityScan Technologies Inc.
$100,000.00
AI-Powered Solutions for Scalable and Automated Pavement and Sidewalk Management Using Image and LiDAR Data
FY 2025-26 · 2025-06-01
Summary
This project will develop AI tools to detect and assess pavement and sidewalk defects using camera and LiDAR data. It will provide predictive insights and condition indexes to help cities transition to proactive maintenance, reduce costs, extend asset life, and improve safety and accessibility.
Department
Program
Industrial Research Assistance Program – Contributions to FirmsIndustrial Research Assistance Program-Contributions to Firms (linked with high confidence)
Recipient
Location
Edmonton|Edmonton, Alberta, Canada
Recipient Type
For-profit organization
Business Number
760724609
Type
Contribution
Source
Proactive Disclosure - Grants and Contributions
As published
Agreement End Date
2026-03-31
Agreement Number
1031766
Agreement Start Date
2025-06-01
Agreement Title
AI-Powered Solutions for Scalable and Automated Pavement and Sidewalk Management Using Image and LiDAR Data
Agreement Title (French)
Des solutions alimentées par l’IA pour une gestion évolutive et automatisée des chaussées et des trottoirs à partir de données d’images et de données LiDAR
Agreement Type
Contribution
Agreement Value
$100,000.00
Amendment Number
0
Coverage
IRAP Contributions to Firms projects stimulate wealth creation for Canada through technological innovation. | Les projets des Contributions aux entreprises stimulent la création de richesse au Canada grâce à l’innovation technologique.
Description
This project will develop AI tools to detect and assess pavement and sidewalk defects using camera and LiDAR data. It will provide predictive insights and condition indexes to help cities transition to proactive maintenance, reduce costs, extend asset life, and improve safety and accessibility.
Description (French)
Ce projet développera des outils d’IA pour détecter et évaluer les défauts des chaussées et des trottoirs à l’aide de caméras et de données LiDAR. Il fournira des informations prédictives et des indices d’état pour aider les villes à passer à une maintenance proactive, à réduire les coûts, à prolonger la durée de vie des actifs et à améliorer la sécurité et l’accessibilité.
Expected Results
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Expected Results (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Federal Riding
Edmonton Riverbend
Federal Riding (French)
Edmonton Riverbend
Federal Riding Number
48018
NAICS Code
54171
Organization Code
nrc-cnrc
Organization
National Research Council Canada | Conseil national de recherches Canada
Program Name
Industrial Research Assistance Program – Contributions to Firms
Program Name (French)
Programme d’aide à la recherche industrielle – Contributions aux entreprises
Program Purpose
The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization
Program Purpose (French)
Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation
Recipient Business Number
760724609
Recipient City
Edmonton|Edmonton
Recipient Country
CA
Recipient Legal Name
CityScan Technologies Inc.
Recipient Postal Code
T6W 2M8
Recipient Province or Territory
AB
Recipient Type
F
Reference Number
172-2025-2026-Q1-1031766
