Grants and Contributions

The project involves designing for manufacturing of various CathPilot system components to enable commercialization feasibility and success. This includes the redesign of various components for molding and optimizing for assembly to help reduce costs, assembly time, and improve quality.

This project will test hypotheses and experiment with new mechanisms to optimize a repeatable and scalable business process, which may result in new business methods for RCI’s Digital Marketplace.

This project will test hypotheses and experiment with new mechanisms to design (or optimize) a repeatable and scalable business process, which may result in new business methods for electronic health records or new digital health products.

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

The youth will be responsible for the readiness and quality of VR kits, including simulations, and provide troubleshooting support to clients.

This student will be working on a range of tasks (development, new evaluations, analysis, supporting infrastructure, systems to operationalize it and reporting tools) to accelerate the development of an AI system to evaluate call center call recordings to predict customer satisfaction and call resolution.

Leaky blood vessels in the retina are the main cause of vision loss in diseases like age-related macular degeneration and diabetic retinopathy – which collectively affect 380 million individuals worldwide. While there are drugs that can stop retinal leakage, the most reliable test for detecting it involves an injection of dye and necessitates emergency readiness in case of an allergic reaction. Hence, this test is invasive, complex, costly, and infrequently used. To address this challenge, we propose an innovative artificial intelligence (AI) approach that will simulate the invasive test from a non-invasive, injection-free photograph commonly collected in routine eye exams.

8 Bit Cortex has leveraged bootstrapping and non-dilutive funding to develop an MVP gamified learning management system (LMS) to enhance engagement and tracking of wellness data. 8 Bit Cortex has validated the market need for an LMS to host addiction recovery programs, enabling automated measurement and reporting of Addiction Recovery Capital consistent with the Alberta Recovery Model for stakeholders, such as government and insurers. Building on partnerships in youth support, employment services, and entrepreneur mental health, the project will integrate engagement metrics and outcome data to train an Agentic AI that recommends personalized recovery pathways, accelerating client healing, and enabling outcome-driven service delivery.

This project will contribute to the Arctic POlar Night EXperiment (PONEX) campaign, which is a sub-orbital component of the Canadian Space Agency’s High-altitude Aerosols, Water vapour and Clouds (HAWC) mission. PONEX will involve a coordinated ground-based and aircraft field campaign in Inuvik, Northwest Territories, in January 2026 and will be the first such campaign to employ aircraft during polar night. This project will support two trainees, who will participate in the deployment, operation, and data analysis of two of the ground-based instruments: a scanning Doppler Lidar and a Water Vapour Lidar, both provided by Environment and Climate Change Canada. These instruments will measure vertical wind profiles, cloud base heights, planetary boundary layer heights, aerosol backscatter profiles, and water Docusign Envelope ID: F463D985-E1B1-4924-AD6E-88066E1BE7B5 vapour profiles. These measurements, in combination with other PONEX ground-based and aircraft datasets, will be used to undertake science investigations in support of the HAWC scientific objectives.

CTA is a non-profit of Canada with expertise in semi-active suspensions systems and advanced engineering for mobility. This project’s objective is to deliver an innovative damper design for wheeled extraterrestrial vehicles, using friction that can be modulated. This system replaces traditional fluid based damper elements that are not well suited for the harsh condition of space exploration. By using algorithms to modulate friction in real-time as a function of inputs such as speed, the system can improve the mobility of rovers, allow operation at faster speeds and improve systems lifespan. The project includes detailed design, manufacturing and characterization of a damper prototype in a laboratory. The disruptive technology could position Canada as a leader in advanced rover mobility, filling an important technological gap that overly complicated smart suspensions seem to overlook.