Grants and Contributions

The firm will hire an Agronomic Field & Data Technician to support applied biochar trial work during the 2026 season. The project will involve greenhouse, soil box, and field validation activities focused on testing low-rate biochar applications under different soil and crop conditions. Results will help improve the firm’s internal validation process, support future service development, and create clearer evidence for how biochar products may be matched to practical agricultural uses.

Diversys is focused on market growth across Canada and the United States, targeting the recycling vertical. In order to be very targeted in our focus, we need a very clear understanding of our ICP (Ideal Customer Profile) customers, decision makers, buying criteria and where they gather. This role will help Diversys understand all these things.

The project will support development of Vista's Artificial Intelligence machine vision platform. 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.

R&D to develop defence-specific capabilities for a sovereign Canadian AI-powered software development platform. 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.

Over the past 2 years, Questron has performed extensive upgrades/developments of three large software apps that serve as the user interfaces with the instruments. 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.

The CFX project will develop and validate a prototype continuous flow system using electrokinetic separation to remove ultra fine low gravity solids from active drilling fluids where traditional solids control is ineffective.