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.
$150,000.00
Sep 1, 2025
For-profit organization
2D to 3D Structural Steel Modelling
1034880
This project is focused on producing 3D structural steel models from 2D engineering drawings for the purposes of estimating and detailing structural steel in the construction industry.
$40,000.00
Jun 1, 2022
For-profit organization
Lift – A Material Counting Tool (Steel MVP)
990589
SketchDeck.ai is building a platform that can automate material counting from construction drawings. Currently these companies are using manual methods (click and drag software or scales and rulers) to quantify building material and components. Our objective is to develop a market ready product that can significantly reduce the time spent counting material from construction drawings using machine learning and computer vision tools and techniques, like NLP, Optical Character Recognition and Deep learning algorithms.