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.
$315,642.00
Oct 15, 2007
For-profit organization
502464
502464
Integration of two machines to increase production capacity of sale yarn.
$8,000,000.00
Mar 27, 2026
For-profit organization
PC0013353
PC0013353
Establish an advanced machining centre in Winnipeg to enhance production capabilities
$272,250.00
Jul 5, 2019
For-profit organization
000015621
000015621
Purchase equipment to improve efficiencies in precision welding, machining and fabrication
$30,150.00
Nov 1, 2021
For-profit organization
AMST - Digital Transformation
983247
To establish monitoring and data collection from 4 machines. This data will be used to help with machine utilization and uptime, as well as tool cost allocation. During this time, we would like to prototype an in-house solution on 1 additional machine as a proof of concept to prevent restrictions on data structuring
$99,999.00
Jul 13, 2021
For-profit organization
Automated Pre-roll Production
2122-CN-000029
A project to acquire a pre-rolling machine for its cannabis cultivation and packaging facility.
$75,000.00
May 1, 2024
For-profit organization
Enhanced Virtual Machine Streaming for Building Industry Application (EVM-SBA)
1019759
The Enhanced Virtual Machine Streaming project aims to transform access and use of computational resources. It focuses on delivering scalable, efficient, and secure virtual machine streaming services, reducing costs and enhancing user experiences.
$15,000.00
Mar 15, 2019
Academia
Full body medical image segmentation for simulation-ready finite element models
925210
We aim to develop an automated machine-learning based method to generate three-dimensional segmentations of anatomical structures from medical images in order to build patient-specific geometric models.
$200,000.00
Nov 1, 2024
For-profit organization
AI Assist: Robust Machine Learning Algorithms for Performance optimization of Massive MIMO Power Amplifiers
1024312
Development of robust AI/Machine Learning-based controller for the performance and energy efficiency optimization of Power Amplifier (PA) elements used in Massive MIMO and Active-Phased Array systems.
$200,000.00
Oct 1, 2024
For-profit organization
AI Medical Chart Review
1022686
This system will utilize natural language processing (NLP), Large Language Models (LLM), and machine learning (ML) technologies to interpret medical jargon, extract relevant patient information.
$116,723.00
May 19, 2025
For-profit organization
Development of Apparatus, Dataset, and Machine Learning Approach to Thermal Heterogeneity Quantification, Material Design and Thermal Simulation Alignment.
1030602
The sensor technology is extended through the use of physics informed machine learning for use with existing hardware and to enable material design.