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.
$170,000.00
Apr 12, 2021
For-profit organization
DealerMine Cloud Application Machine Learning Capabilities
970783
Centralize data assets and introduce Machine Learning capabilities to enhance DealerMine’s dealership facing Service CRM application and internal BDC Blue cloud-based applications.
$99,992.00
Aug 28, 2019
Other
Development of two new editions and one new national standard for mining equipment
CSA2020-001
The purpose is to develop three (3) evidence informed National Standards on mining equipment power trains used in underground mines.
$99,992.00
Aug 28, 2019
Other
Development of two new editions and one new national standard for mining equipment
CSA2020-001
The purpose is to develop three (3) evidence informed National Standards on mining equipment power trains used in underground mines.
$160,500.00
Apr 1, 2023
Not-for-profit organization or charity
514887
514887
Develop mobile version of a machine based learning assistant that will assist persons with disabilities in their education and integrating into the labour market.
$160,000.00
Jul 30, 2018
For-profit organization
AI Proof-of-Concept Framework for OHS/EHS Compliance
911572
Apply Artificial Intelligence (AI) and Machine Learning (ML) techniques to improve the management of worksite safety processes, processes and reporting for the construction industry.
$75,000.00
Feb 3, 2025
For-profit organization
AI Assist - scoping project for partnering consultants
1026900
This project will support the construction of a business development and networking platform using data science, artificial intelligence (AI), and machine learning (ML) techniques.
$75,000.00
Feb 4, 2025
For-profit organization
Evaluation and Selection of Key Technologies
1027824
Improve the performance and expand the capabilities of its telecommunications power infrastructure management platform through evaluating the use of AI and machine-learning technologies.
$96,000.00
Jan 1, 2019
For-profit organization
Data analytics and machine learning to optimize dropship sales activities through webstores
918789
Development of data analytics and machine learning tools to improve the user experience and customer success of online retailers through product and supplier recommendations.
$249,750.00
Jan 1, 2019
For-profit organization
Optimization of wastewater treatment process using real-time monitoring data and process optimization algorithms
922505
AUG will develop an innovative method for optimizing wastewater treatment process at remote communities by using real-time data and machine learning-based algorithms.
$200,000.00
May 1, 2020
For-profit organization
Cognitive Model
952392
Development of a customer clustering system to enable businesses to leverage location data with machine learning predictive models to gain better insights into customers