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.
$89,300.00
Apr 14, 2018
For-profit organization
Real time udder inflammation and infection detection
906325
Use of multispectral imaging and machine learning for the early detection of illnesses in the udders of dairy animals, in an automated, cloud-connected system.
$30,000.00
May 6, 2024
For-profit organization
YOUTH - Development of a data processing and training strategy for motion analysis algorithms.
1017654
Hiring of an electrical engineering graduate with a specialization in AI to implement a data processing and training strategy for algorithms derived from machine learning.
$483,161.00
Jan 16, 2023
For-profit organization
Enhancements to MotionHall Natural Language Processing and Machine Learning
1000718
MotionHall will further develop various NLP and Machine Learning systems in order to enhance its digital twin model of the novel biotherapeutic R&D landscape.
$178,000.00
Aug 14, 2023
For-profit organization
Improvements to Powerlane Scalability
1009008
Increase PowerLane’s* available market across all OEM’s and better utilize Media Management and Machine Learning to drive more value (ROI) into the product.
$300,000.00
Aug 1, 2025
For-profit organization
Development of Pilot Process for Cell cultivate pork production via AI enhanced design
1033834
This project enables Myo Palate to reduce cultivated pork production costs through machine learning-driven muscle maturation optimization and scaling production to pilot-scale bioreactors.
$350,000.00
Jan 14, 2019
For-profit organization
Content Marketing Recommendations Platform
918177
The project will build machine learning models to make customized, actionable recommendations that drive content marketing success for users of a content marketing recommendations platform.
$49,798.00
Jan 15, 2019
For-profit organization
Feline Type 2 Diabetes Test Kit Development
919113
The project involves the development of an innovative diagnostic test for Type 2 diabetes in feline companion animals using molecular profiling and machine learning methods.
$336,500.00
May 10, 2017
Towards a Robust Theory of Adaptive Learning Algorithms
RGPIN
$262,000.00
Apr 1, 2019
Not-for-profit organization or charity
Innovation York AI Industry Partnership Fund 2019/20
924246
Support up to 12 Canadian SMEs through AI/Machine Learning based collaborative research projects with funding of up to $12K per project. The specific outcome for the SME is expected to be a combination of the following: • Proof of Concept or working prototype • Recommended Machine Learning models and algorithms • Assessment of company’s existing dataset and recommended data strategy
$30,000.00
Dec 2, 2024
For-profit organization
AI in Satellite Communications
1024483
Commissioning of a Machine Learning Operations Pipeline: Infrastructure and processes to manage data, models, and software are critical to deploying trustworthy and robust artificial intelligence solutions. This project will advance Mission Control’s core Machine Learning Operations (MLOps) Pipeline, including data management, model staging, and cloud and embedded hardware to better serve AI-based solutions to customers in the space industry.