Grants and Contributions

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. This project will create the property management industry’s first A.I. workflow generator that is completely ‘map-less’ for users.

Field pilot deployment of a microbial fuel cell and carbonate precipitation technology at a mine in northern BC, in collaboration with a mining MNE and first nationals limited Partnership. The pilot will field demonstrate treatment of Acid Rock Drainage(ARD) from tailings, recover valuable copper, and produce discharge-compliant water in real-world conditions

The Firm is developing an innovative dry crushing system for recycled aggregate production to replace water-intensive wash plants that strain resources, increase costs, and pose compliance risks. Using advanced air classification, magnetic separation, and high‑performance screening panels, the system will meet stringent concrete-grade quality standards without water washing, providing a sustainable, industry‑leading alternative.

Implement multi-tenanting across the vendor management tool and integrate internal operational tools into one platform for ease of use.

LoOoP will be the first effective and accessible device-based solution for polycystic ovarian syndrome (PCOS). The LoOoP platform combines a minimally-invasive bioelectronic device with a digital platform. The Youth duties will be to facilitate and support the first phases of commercialization of the LoOoP platform.

This project is a continuation of the development of the ONSITE Soil Remediation Process from 2023.

The project involves an Engineer working on integration, prototyping, and validation with OEM partner, including on-site engineering and the preparation of technical documentation to ensure regulatory compliance and market readiness.

Creation of an AI assistant to a physical IoT-enabled wine rack system with a standalone sommelier-grade mobile app to help consumers and businesses manage, understand, and discover wines through real-time inventory tracking, contextual pairing, with AI-driven recommendations.

This project will advance the fermentation scale-up optimization of proprietary microbial dyes and enhance dye formulation for textiles.

This project will develop a cloud-based proof-of-concept for a Clinical Decision Intelligence system powered by Large Language Models (LLMs), initially focused on cardiovascular applications with potential expansion to other medical specialties.