Grants and Contributions

This project will build a novel modular device for low-temperature applications relevant for military, quantum and civilian scientific technology applications.

By creating a translation layer that feeds simulation environmental data into a specialized hardware interface and a native National Marine Electronics Association (NMEA 2000 (N2K)) library, the project will enable hardware-in-the-loop (HiL) training on commercial-off-the-shelf (COTS) devices. A key focus of this development is ensuring that the translation layer and new NMEA 2000 capabilities are seamlessly integrated into the existing software architecture without compromising legacy systems.

The project is to hire a new graduate as a Marketing Assistant with the objective of developing programs that will increase both awareness and sales of our products.

The project will add end-to-end AI and machine vision development and deployment workflow capable of flexible on-premise and cloud based deployment.

KJL is exploring the technical feasibility of repurposing existing transformers to create units with different kVA ratings.

The project focuses on enabling AI-assisted analysis and modernization of legacy defence codebases (COBOL, FORTRAN, Ada), building secure integration connectors for defence enterprise systems and operation in a fully air-gapped with zero external data transmission, supporting CAF digital modernization priorities under Canadian ownership and control.

Integrate natural language queries into the Unity 2D and 3D versions of RemoteSpark using voice input. This work will build on Project 1030178 and implement its capabilities in the production client. The effort will involve sampling microphone input and triggering voice commands and content requests without interfering with conversations taking place during the video and audio call.

In order to enter the commercialization phase, these software products require watchful use, testing, and validation on the Android and PC computer platforms. The youth candidate will start by learning the product applications and then use his/her specialized skills and knowledge of JAVA language based object-oriented platform to debug and describe the coded functions. Having performed these preliminary but essential tasks, the candidate will utilize the refined software applications to interface with actual hardware electronics for function verification and robust function

Shift AI is developing a Hardware-Aware Abstraction Layer for Mixed-Drone Fleets: an intelligent fleet management platform that automatically assigns tasks to human-operated drones across multiple manufacturers based on real-time hardware performance data, including battery health, sensor capabilities, and environmental conditions. The solution addresses a critical gap in current drone technology by enabling efficient, optimized management of mixed-fleet drone operations for both commercial and defense applications.

The Adaptive Feeder Project will develop a modular parts-feeding platform that improves flexibility, reliability, and productivity in precision manufacturing, helping Canadian manufacturers—particularly SMEs—reduce downtime and respond more quickly to changing production needs.