Grants and Contributions

The Project will support pilot testing of AI strategies, determine target architecture and quantitative technical objectives for implementation of an AI solution. Once these objectives are determined, the firm will implement that to build an AI Predictive Calculator for immigration matching.

Wind Enairgy Inc. is developing a Dual-Axis Cascaded Airfoil Wind Turbine (DACAWT) prototype, based on its US patent (10,683,841 B2). Extensive computational fluid dynamics (CFD) analyses, including independent CFD simulations by Rand Simulation and Navier-Flow Consultants, indicate a DACAWT exhibits excellent aerodynamic performance in low wind speed and gusting wind conditions. The project will redesign, build and wind tunnel test a robust DACAWT prototype to validate the proof of concept and generate accurate data with respect to its optimum blade speed ratio (BSR) and maximum power coefficient. The prototype's test data will be used for designing and building a larger DACAWT for testing in the field and to attract private investment.

Thirdstream's self-serve mortgage renewal solution aims to transform the Canadian banking sector by automating the mortgage renewal process. This innovative solution integrates advanced technology, ensuring seamless system compatibility, regulatory compliance, and user convenience. With a massive surge in mortgage renewals expected in 2025-2026, the project will streamline workflows, reduce operational costs, and enhance the customer experience for financial institutions, positioning the product as a critical tool for managing increased renewal volumes efficiently.

The project aims to evaluate AI technologies to enhance the firm's data capabilities, supporting user notification preference recommendations to improve the effectiveness of shift notifications.

This is an R&D project to test hypotheses and experiment with new mechanisms to design a repeatable and scalable business process and to develop IP in business methods.

This is an R&D project to test hypotheses and experiment with new mechanisms to design a repeatable and scalable business process and to develop IP in business methods.

We hope to develop an Enterprise-Wide Integrated platform (EIAIO) that uses ML/AI to streamline and direct interdepartmental, end-to-end operations for small food manufacturing businesses by evaluating, planning, tracking, predicting and guiding decision-making in all aspects of the business. EIAIO Part 1 (this project) will cover a portion of Phase 1 of our 3-Phase AI Integration & Growth Plan. It will utilize 6 years of data to begin designing and building a functional database, which will become the foundation of our larger EIAIO platform. This project will cover the initial groundwork of further data collection & clean-up for validation & testing, requirements definition, compliance preparation, and defining business rules & standards.

This project is to research and create a set of tools and methodologies for supporting all fermentation and R&D activities for the company.

Excir is developing technology solutions to achieve better outcomes in the electronic waste (“E-waste”) recycling market. This project is seeking to improve on its existing technology and scale.

Research, develop, and test generative AI models tailored for recruitment to enhance the productivity and scalability of a messaging platform