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.
$179,315.00
May 7, 2025
For-profit organization
AI-Driven Predictions for Proactive Charger Restarts
1031979
This project develops an AI- and ML-driven solution to improve EV charger reliability through predictive maintenance. By analyzing historical data, real-time metrics, and OCPP logs, it identifies patterns and anomalies indicating failures. Site hosts receive notifications to schedule automatic restarts during low-usage periods, minimizing disruptions and maximizing uptime. Network operators benefit from trend analyses to uncover systemic issues, reduce manual interventions, and extend equipment lifespan. LLM-powered semi-automated labeling enhances training dataset quality, improving AI accuracy and scalability. The solution ensures compatibility across diverse hardware for seamless deployment.
$750,000.00
Mar 21, 2025
For-profit organization
1019356
1019356
To pivot focus to the Canadian market and strengthen domestic electric vehicle (EV) charging technology through product development and partnerships.
$225,000.00
Aug 1, 2023
For-profit organization
Composable EV Charger Simulation Framework
1010486
This project proposes create a smart electric vehicle (EV) charger simulation framework. The framework will simulate the interaction of the smart charger with ChargeLab's software, as well as the effects of real-world interacations on the charger. This will provide a framework for load-testing our software, as well as regression testing edge cases of charger firmware.
$150,000.00
Jun 1, 2022
For-profit organization
A context-aware system for testing and monitoring EV Chargers
991491
This project proposes to investigate, design, and create a context-aware system for testing and monitoring smart electric vehicle (EV) chargers. The system will support automated and semi-automated compatibility testing of EV chargers against ChargeLab’s software, and provide a framework for ingesting and correlating EV charger monitoring logs to produce actionable intelligence and increase operational excellence.
$240,000.00
Jul 16, 2021
For-profit organization
ChargeLab-owned Multi-family EV Charger Deployment
ZP-108
The purpose of this agreement is to increase awareness, availability and use of lower carbon vehicles and fuels in Canada by supporting the installation of 48 electric vehicle chargers in Ontario.
$30,000.00
Jul 20, 2020
For-profit organization
Anomoly Detection and mitigation in EV charging sessions and transactions
954123
Detecting, reporting, and mitigating anomalous activities during an EV charging session is a fundamental part of an efficient EV charging management system. Such effective mechanisms allow for improving system reliability and security which in turn results in delivering more
accurate products and achieving better customer experience.