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.
$29,800.00
Aug 23, 2021
For-profit organization
ITEA 2021 - European GVC/MNE access support
980874
This project is to help the firm engage with European partners and develop co-innovation partnerships with European multi-national enterprises (MNEs), industry leaders, and key global value chain actors, through the EUREKA ITEA Cluster.
$300,000.00
Dec 1, 2020
For-profit organization
Canadian Collaboration Project – ThinkON-SHIELD
962536
Canadian Collaboration Project - ThinkON-SHIELD with consortium Think On, Inc., and Shield Crypto Systems Inc.
The objective of the project is to develop the world 1st publicly available privately searchable data storage service with homomorphic encryption to keep data secure and private in a post-quantum world.
$300,000.00
Dec 1, 2020
For-profit organization
Canadian Collaboration Project – ThinkON-SHIELD
964507
Canadian Collaboration Project - ThinkON-SHIELD with consortium Think On, Inc., and Shield Crypto Systems Inc. is a joint initiative to develop the 1st publicly available privately searchable data storage service with homomorphic encryption to keep data secure and private in a post-quantum world.
$81,312.00
Apr 1, 2020
For-profit organization
Innovation Assistance Program
949707
The funding provided by the IAP program is intended to assist innovative small and medium-sized enterprises in the start-up phase that cannot access existing commercial support related to COVID-19.
$150,000.00
Dec 2, 2019
For-profit organization
Scalable Confidential Computing Solution
943537
FHE is considered the holy grail of cryptography that allows for computing directly on encrypted data. The purpose of this project is to upgrade the architecture of our solution into microservices architecture to allow for a robust and scalable Fully Homomorphic Encryption (FHE) platform that can scale to variable real-life traffic/transaction requirements. This includes database partitioning, workload splitting, load balancing, microservices, and others. It will also include researching ways to provide seamless continuous integration (CI) and continuous deployment (CD) to different parts of the overall solution in order to include any new improvements in the code base.
$150,000.00
Dec 31, 2018
For-profit organization
Improving Performance of Fully Homomorphic Encryption via Pipelining and Parallelism Enhancements
923691
This purpose of this project is to improve the performance of the Fully Homomorphic Encryption (FHE) technology and its applications through different pipelining and parallelism enhancements. FHE is considered the holy grail of cryptography that allows for computing directly on encrypted data. The challenge that everyone is currently facing with FHE is that it comes with a significant computational overhead. To try making this technology practical for a wider range of applications and use cases, we are investigating different ways to improve its performance.