Grants and Contributions

The Firm is undertaking a modernization project to improve production efficiency and expand capacity for its premium end-grain cutting boards and wood products. The project involves upgrading equipment, refining workflow layout, and adopting lean manufacturing practices, all while maintaining the craftsmanship and sustainability values core to the brand. This investment will support rural employment in Cape Breton, enhance export readiness, and help scale a Canadian-made product line that celebrates responsibly harvested Eastern Canadian wood.

Develop a modular pediatric traction and positioning system designed to be self-supporting and operate with weights and/or springs. This system can be easily attached to various devices, allowing patients to change positions between lying down, sitting, and standing to maximize traction time. It is designed to adapt to children's disabilities and support needs, offering adjustability and adaptability. In addition, it incorporates a microcontroller with sensors to continuously measure the mechanical loads and stresses applied to the spine.

The project will support the launch of a multi-tenant SaaS platform to optimize logistics, automate client communications, and field operations for SMEs in construction, delivery, and utilities. This project focuses on completing initial R&D, infrastructure refinement, and onboarding automation before large-scale deployment, allowing real-world validation to “de-risk” the product and business model.

WOLF Advanced Technology Canada Inc. will develop a new generation of rugged, high performance embedded computing modules designed for use in extreme aerospace and defense environments. The project will deliver certifiable processing solutions and advanced edge computing platforms that significantly increase computing power, data throughput, and reliability compared to current technologies. These innovations will strengthen Canada’s position in global markets by enabling faster, more capable mission systems for critical applications.

“As part of the international consortium project “CIIP - UK Multisector - SALUS - Sustainable Autonomous Long-Endurance Uncrewed Systems”, this project will advance safe and scalable beyond visual line of sight (BVLOS) operations for uncrewed aerial systems. Canadian UAVs will focus on integrating its Sparrowhawk radar-based detect-and-avoid system into long-endurance UAV platforms, conducting field trials, and validating performance against regulatory standards. The goal is to enable sustainable offshore monitoring, industrial inspections, and regional connectivity applications. The project will deliver validated demonstrations, regulator engagement, and commercialization pathways across Canada and the UK.

The Project aims to develop rapid and accurate point-of-need (PoN) tools for real-time, on-site mineral sample analysis to enhance mineral processing efficiency and AI-guided process control. Current methods like Inductively Coupled Plasma mass spectrometry
and optical emission spectroscopy are time-consuming or inaccurate. The Project first will extract and concentrate target minerals using ion-imprinted polymers and porous membrane filters to selectively capture and concentrate metal ions. This involves optimizing these materials with real hydro- or solvo-metallurgical samples. Secondly, the Project will develop portable optofluidic and bench-top electrochemical sensors for PoN detection and quantification of ions. These sensors will be integrated with sample
preparation devices to create a comprehensive field-deployable system that will be tested against existing methods. The outcomes will support real-time monitoring of mineral processing reactors for efficient metal ion extraction and recycling, contributing to sustainable metal recovery and improved process parameter optimization through AI tools.

The project will support the development of an innovation plan to explore integrating AI into Booky's core business.

This project will automate the inspection process for Micromirror Chips by incorporating an AI-powered image analyzer.

The Project will support the assessment of data quality and data sources for AI project development. The project may also characterize and document aspects of data for AI and Data Governance.

As part of the international consortium project CIIP - UK Multisector - E3D-RMC, this initiative aims to develop and pilot a scalable, eco-friendly 3D concrete printing (3DCP) solution using recycled materials. The goal is to construct sustainable, low-carbon modular housing units that address housing shortages, while showcasing advanced manufacturing through real-time sensor integration and AI-driven mix design optimization.