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.
$364,468.00
May 16, 2022
For-profit organization
Predictive Analysis Research, Development and Deployment
990166
However, to do this, Report Mate needs to develop a more enterprise focused product, aimed at the insurance space and build a machine learning model to support predictive analytics software.
$37,440.00
Aug 1, 2020
For-profit organization
Opportunity Assessment of AI on ThinkRF product roadmap
954929
The Technology & Business feasibility study for AI-based Wireless Spectrum Assessment will investigate the emerging trends in Industrial IoT, 5G deployments and critical Infrastructure and how the AI / Machine Learning technology can solve new and unforeseen risks in the new and complex wireless environments.
$2,995,481.68
Mar 4, 2025
For-profit organization
Emissions Detection, Localization, Quantification, and Reduction through Technology Development and Progression
1029589
Qube provides oil and gas producers with an end–to-end continuous monitoring solution that detects methane emissions with advanced sensors and powerful machine learning algorithms capable of quantifying emissions and localizing their source.
$74,500.00
Jul 14, 2025
For-profit organization
Proof of concept - AI Cubing
1033722
Finally, to demonstrate that an AI algorithm can learn to generate or evaluate patterns from a limited set of rules. These steps are fundamental to laying the foundations for an intelligent, reliable and adaptable machine capable of supporting robust, accurate and scalable automated palletizing solutions.
$60,000.00
Oct 1, 2025
For-profit organization
Further advancement of DMU from TRL7 to TRL9
1034307
Additional field trialing will allow for the collection of large amounts of data to use in the development of an edge inference machine learning interface to improve system accuracy.
$90,000.00
Sep 1, 2025
For-profit organization
Care Navigator AI Agent (CareNav AI) Development
1035010
Leveraging natural language processing (NLP), machine learning (ML), and real-time data, it provides personalized care recommendations, adaptive care plans, and access to care services.
$75,000.00
Jun 1, 2025
For-profit organization
AI - Fin Services B2B2C - Full Scale Client-to-Product SaaS Personal Matching
1031468
The Firm's proposal outlines the development of an AI-driven Financial Services Broker Platform that will transform broker-client interactions, data analysis, and value delivery. Using AI, machine learning, and natural language processing, the platform provides brokers with real-time insights, streamlines operations, and enhances client satisfaction.
$198,656.99
Aug 1, 2018
For-profit organization
Fall detection and prevention
911107
Project is to develop a system that identifies biomarkers to predict Alzheimer Disease, a few years before the actual symptoms of the Neurodegenerative Disease (NDD) are fully apparent.
Machine Learning algorithms will be used on collected sensor data, recorded by ROVER, a wearable gait analysis device developed by Sensoplex.
$60,000.00
Sep 3, 2019
For-profit organization
AI Based Occupancy Sensing Solution
934489
The sensor would be camera and computer vision based with machine and deep learning capabilities. Data will processed on the sensor at the edge and will have a full mesh protocol network to transmit metadata payloads back to a local gateway or directly to our IoT cloud platform.
$495,000.00
May 1, 2019
For-profit organization
12835 Eurostars X-AID
926773
The consortium will apply novel machine learning (ML) techniques to develop a clinical decision support tool for musculoskeletal conditions, which will be fully integrated in Hospital Information Systems.