Grants and Contributions

The firm is developing a device for remote ischemic conditioning (RIC) that uses blood pressure (BP) measurements to accurately set the cuff inflation pressure during treatment. The project will involve work related to prototyping and testing a new version of the RIC device and an accessory Blood Pressure Simulator (BPS) for BP measurement accuracy of HR and Heartrate in cuffed BP devices.

The project will develop AI powered network analytics for encrypted traffic with support for high speed 100 Gbps networks while keeping energy consumption low. This will enable advanced network monitoring and management solutions, and facilitate secure networks with a reduced energy footprint. In collaboration with partners in the SUSTAINET-Advance subproject we will demonstrate the potential of these network analytics to foster resilient, secure and high performance networks. The technology developed will be integrated with 2 Canadian partners as well.

The purpose of this CanExport Innovation agreement is to support Canadian organizations to carry out activities related to pursuing opportunities that would lead to establishing new collaborative Research and Development (R&D) partnerships between the Recipient and foreign organizations in order to support R&D on the Recipient’s technology and advance its commercialization.

Medidas has developed mobile and web applications designed to engage drivers and decrease risk through driver behaviour change and the identification of driver risk on roadways. The project will look at the analyzation of risk data to inform driver safety decisions.

Advancing EVCare platform to support scalable EV fleet electrification through predictive and generative AI for lifecycle prediction, operational readiness, and AI-powered user interaction.

The project integrates ML-powered anomaly detection, real-time threat prevention, software-defined orchestration, and network-as-a-sensor telemetry to deliver proactive defence, multi-WAN continuity, and energy-aware operations validated in lab and simulated edge environments.

The Project will support pilot testing of AI strategies, determine target architecture and quantitative technical objectives for implementation of an AI solution.

Vaultie is developing an ethical, open-source facial verification AI model that uses synthetic data to provide secure, privacy-preserving digital identity solutions for government and legal sector applications. This model will support compliance with privacy standards while accurately representing Canadian demographics.

Development of a sustainable alternative to hard chrome plating through a combination of high-speed laser deposition and simultaneous roller burnishing.

Appello will leverage this grant to hire an outbound sales associate to fuel our growth. The candidate is a recent grad and in the midst of a career change from construction into technical sales. We briefly engaged him in a consulting capacity before deciding to bring him onto the team full-time due to his passion and determination.

Project Auk is a pioneering initiative designed to revolutionize atmospheric data collection by enhancing LZC's Gitpo RPAS with ice detection and mitigation technologies. This project is strategically aligned with several critical objectives:
1. Environmental Sustainability;
2. Global Impact;
3. Technological Innovation