Grants and Contributions
About this information
In June 2016, as part of the Open Government Action Plan, the Treasury Board of Canada Secretariat (TBS) committed to increasing the transparency and usefulness of grants and contribution data and subsequently launched the Guidelines on the Reporting of Grants and Contributions Awards, effective April 1, 2018.
The rules and principles governing government grants and contributions are outlined in the Treasury Board Policy on Transfer Payments. Transfer payments are transfers of money, goods, services or assets made from an appropriation to individuals, organizations or other levels of government, without the federal government directly receiving goods or services in return, but which may require the recipient to provide a report or other information subsequent to receiving payment. These expenditures are reported in the Public Accounts of Canada. The major types of transfer payments are grants, contributions and \'other transfer payments\'.
Included in this category, but not to be reported under proactive disclosure of awards, are (1) transfers to other levels of government such as Equalization payments as well as Canada Health and Social Transfer payments. (2) Grants and contributions reallocated or otherwise redistributed by the recipient to third parties; and (3) information that would normally be withheld under the Access to Information Act and the Privacy Act.
$50,000.00
Apr 1, 2021
For-profit organization
Machine Inferencing of Software Identification Using Artificial Intelligence
970002
Build a machine learning model capable of predicting a software’s metadata properties by assessing its similarity to other known software.
$36,000.00
May 1, 2021
For-profit organization
Youth - Perception Platform Market Development
970826
A project around business development and marketing activities for the firm's Machine Learning (ML) workflow management for perception-heavy applications platform.
$50,000.00
Jul 19, 2021
For-profit organization
ARP - Preparing to add artificial intelligence to the transactional platform
975949
Adjustment of the technological systems of the transactional platform to integrate massive data processing functionalities through machine learning and artificial intelligence.
$87,000.00
Jul 4, 2022
For-profit organization
Agricultural Automated Valuation Model (AAVM)
991825
The main goal of this project is to build the Agricultural Automated Valuation Model (AAVM) using machine learning and AI technology.
$52,361.00
Sep 21, 2020
For-profit organization
Autonomous Launch and Recovery System for UUVS
956536
The application of machine learning techniques for the predictive autonomous launch and recovery of assets at-sea in varying sea states.
$50,000.00
Feb 18, 2019
For-profit organization
Machine-learning powered influencer marketing platform – software development.
924281
This project will build several machine learning models that power the matching algorithm between companies and influencers on an influencer marketplace.
$233,600.00
Apr 16, 2018
For-profit organization
Implementation of Machine Learning in Scalable DROP Platform
906220
Arcus is serious about utilizing machine learning in power markets. We are dedicated to the creation of leading meaningful energy efficiency measures through technology and the continual enhancement of our predictive analytics with machine learning.
$172,000.00
Feb 15, 2019
For-profit organization
MVP Functionality for Desalination Optimization
923123
This project aims to develop the machine learning aspects of Synauta’s Minimum Viable Product (MVP), functionalize and test the beta software with customers and iterate on the lessons learned during this process.
$275,000.00
Jun 16, 2025
For-profit organization
Development of virtual patient-stratification biomarker assays
1032059
The project aims to develop virtual biomarkers using machine learning (ML) to aid in subtyping lung cancers and stratifying breast cancer patients.
$66,700.00
Jan 2, 2025
For-profit organization
AI Assist: AI Dataset Management
1026902
A software project to develop a robust dataset management system for training machine learning and computer vision models, essential for fisheries monitoring.