Grants and Contributions

cirkuit is developing an advanced platform to leverage its building data and aims to expand ML/AI analytics and third-party integrations to meet client demand and support growth.

This project will enable Phase Sensors to reduce drift in its pressure sensors. Drift is a critical specification for precision pressure sensors as it directly impacts the accuracy of a measurement over time. Sensors are typically re-calibrated at schedules determined by sensor drift rates. A lower drift rate means the sensor is more accurate for a longer period of time and does not need to be re-calibrated as often.

Phase Sensors has demonstrated better drift performance than its main competitor at 25°C and 10,000psi. Initial testing between 20,000psi and 30,000psi indicate that further work needs to be done in sensor design to reduce drift rates at very high pressure.

AI driven tool to provide Chief Information Security Office (VCSO) capabilities, including a secure and private GPT-style interface, dynamic threat and risk dashboard, cybersecurity registers, and an incident response ready-room.

This project will test hypotheses and experiment with new mechanisms to design and optimize a repeatable and scalable business process, which may result in new business methods that support international market diversification of supportive apparel

This project will develop GHST (Ground-based Human System Toolkit), a modular system that enables remote and semi-autonomous control of ground vehicles without major modifications. Testing in real-world settings will validate performance, leading to a commercial-ready product with demo units, installation guides, and training materials.

Development of a power-efficient, precision wave height sensor leveraging modern positioning and communications technologies.

This project expands Localize’s offerings by developing a pan-Canadian product identity program that is compliant with federal regulatory guidance for product origin claims. The project will significantly expand Localize’s databases, enhance software with new AI tools, and automate verification processes.

Continued development of an AI-powered platform powered by new and existing hardware sensors to extend the control capability of primary aluminum reduction operations

This project enables Myo Palate to reduce cultivated pork production costs through machine learning-driven muscle maturation optimization and scaling production to pilot-scale bioreactors.

Project and design coordinator