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.
$75,000.00
Nov 1, 2024
For-profit organization
AI Assist: Strategy Evaluation of LLMs for Operations
1026025
Assessment of LLMs and machine learning solutions / tools. The goal is to increase productivity by improving on: manufacturing processes to reduce waste, reduce inventory costs, predict demand, increase quality, implement predictive maintenance, improve customer experience and improve product development process.
$30,000.00
May 2, 2022
For-profit organization
Youth (YEP) - 2022-23
990510
Animo is a game that utilizes reinforcement learning technologies to enable the player to perform and enable complex behaviours.
$314,783.00
Oct 18, 2013
New contribution over $25,000. Multi-year agreement. (Apr. 1, 2014 - Mar. 31, 2016).
$28,617.00
Mar 30, 2015
One year agreement for fiscal year 2015/16.
$2,550,000.00
Sep 27, 2019
For-profit organization
Development of an expanded platform using indepth Machine Learning to drive new service offerings
934434
Develop a platform to combine years of agronomic, yield, crop input, and weather data with newly acquired data from Strategic Partnerships and other new partner service providers to create a broad data set capable to offer superior depth of decision support options for Producers.
$30,000.00
Sep 1, 2025
For-profit organization
Machine learning application for detecting illicit activities - Networked sensors for enhancing public safety.
1034072
Software that detects illicit activities is being developed. Such product will enhance capabilities of law enforcement operations in Canada.
$50,000.00
Jul 20, 2025
For-profit organization
ARP - Development of a machine-learning audio inference engine for resource-limited devices.
1033000
The Firm is creating an AI engine for efficient real-time audio processing on low-power devices. The goal is to achieve sub-30 msec latency, optimizing performance for edge computing and battery-operated systems.
$500,000.00
Apr 1, 2024
For-profit organization
Smart Concrete Plant - Machine learning and material monitoring sensors to optimize concrete mixtures
1018004
The goal of the project is to benefit from the extensive Betotech domain expertise in raw material monitoring, concrete mixture development, historical data, and testing facilities, to develop algorithms which will incorporated into Giatec's product platform. The outcome will be to provide customers with concrete sensors and software that can perform: (a) the prediction of concrete mixture performance variations attributed to raw material changes and (b) the optimization of concrete mixtures in terms of cost and carbon footprint attributable to changes in material characteristics.
$29,400.00
Aug 30, 2021
For-profit organization
YOUTH - Machine Learning Application for Clinical/Pre-clinical Use of Brain Autofluorescence Signals
976480
Analyzing signals collected in mice as a potential biomarker to measure brain activity.
$345,400.00
Apr 1, 2024
Academia
Bridging Simulation and Measurement Data through Machine Learning for Enhanced Silicon Photonics Device Models
1014845
Notably, the performance of fabricated on-chip integrated silicon photonic components and devices deviates from the theory due to imperfect fabrication and other external factors. Using a variety of machine learning approaches that include surrogate models, inverse models and transfer learning, the project will develop methods to correlate the actual shape of the fabricated devices to the optical measurement data.