Grants and Contributions

The project enhances the AI-driven lightning wildfire forecasting deep learning models to improve prediction accuracy, extend forecast timelines, and integrate ignition risk modelling across Canada and the U.S.

PharmaGuide is developing an end-to-end Al intake agent that ingests prescription-related documents from every channel pharmacies use today - fax, email, SMS, voicemail, and direct upload - and parses, validates, enters, and processes them through to transaction fulfillment. Using contextual Al techniques (patient and prescriber lookup, trend detection, and template memorization), the system is designed to replace manual data-entry work at high-volume pharmacies and enterprise chains with a single autonomous workflow. The project will develop and validate the agent through controlled experiments in sandbox environments, measuring channel coverage, parsing accuracy, end-to-end automation rate, and time-to-entry against current manual baselines.

To further develop a Quality Assurance Program by ensuring all workstations have clear instructions and standards to create a foundation of repeatable work.

The OSB Press Repair Robot has demonstrated technical and commercial viability through successful deployments in industrial environments. However, the current design is not optimized for production. Manufacturing is slow and labour-intensive, requires significant manual machining and rework, and involves components that are difficult to produce consistently. As a result, production capacity is constrained, limiting market penetration. Nova Robotics will optimize production of the OSB Press Repair Robot in order to achieve higher annual volume, shorter lead times and lower production costs. This will allow additional sales and open avenues into other potential markets.

The purpose of this CanExport GAC-Led Delegations agreement is to support small and medium-sized enterprises (SMEs) participating in select trade missions and delegations led by GAC's Trade Commissioner Service.

This project aims to enhance the performance, reliability, and usability of the Patriot ecosystem, PigRun Solutions’ remote pipeline pig tracking system, by addressing key technical challenges identified through field operations. The work focuses on reducing electromagnetic self-interference to improve signal sensitivity, strengthening satellite and cellular communication reliability through firmware improvements and robust retry mechanisms, and integrating Wi-Fi capability for efficient data transfer supported by optimized protocols and compression.

The firm's AI Personal Assistant project is a Canadian R&D effort to create an action-capable AI co-pilot for the construction industry.

This project advances the development of a test that measures a biomarker of cellular oxidative stress by transitioning to higher-quality antibodies, adding an internal calibration, and building software that presents a personalized health score.

SubC Imaging is developing an advanced computational imaging platform to support the next generation of autonomous underwater operations. This project focuses on architecting a secure hardware and software core capable of real-time edge intelligence and modular sensor integration. Designed for the rigorous demands of the global defense and science sectors, the platform will provide unprecedented data clarity and reliability in complex environments.

The project advances a modular, low-resource Controlled Environment Agriculture (CEA) system based on fogponics, closed-loop water management, and IoT monitoring. Building on prior prototype cycles that validated the core cultivation approach, the company will complete the active growth cycle, commission a second pilot unit, execute two further growth cycles across diversified berry cultivars in parallel multi-unit operation, develop custom A-Frame hardware to replace the current residential unit hardware, produce per-cultivar growth protocols, and quantify clean-tech performance on water, energy, nutrient utilization, and yield. The funded scope concludes with the engineering design for a 200 m² scaled-up configuration validated against the accumulated multi-cycle dataset.