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.
$350,000.00
Dec 20, 2024
For-profit organization
1019037
1019037
To develop an artificial intelligence (AI)-integrated product suite through implementing verticalized Large Language Models (LLMs) and AI agents to optimize workflows and support scalable growth.
$30,000.00
Aug 19, 2024
For-profit organization
YOUTH - data engineer (f)
1021839
Cardea Health's SearchFLOW platform aims to revolutionize patient care. By constructing a robust, EMR-agnostic data lake capable of ingesting and processing diverse clinical data (ECG, Echos, reports, notes) from multiple customer accounts, we will leverage AI (NLP, OCR, ML) to extract, structure, and label medical information using standardized terminologies (SNOMED-CT, RxNorm). This enriched data will fuel predictive models for patient risk stratification and clinical trial matching. A fault-tolerant data ingestion pipeline, aligned with FHIR interoperability standards, will ensure seamless data flow and reliability. Rigorous data privacy safeguards, including de-identification and tokenization, will be implemented. SearchFLOW will accele