Grants and Contributions

AI Experts for Real Estate Enterprise.

The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.

The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.

The firm has developed an industrial membrane electrolysis process and electrolyser cell equipment for the electrochemical conversion of lithium chloride or lithium sulphate solutions into battery grade lithium hydroxide. Broadly, our clients are in the mineral processing, lithium-ion battery production and recycling sectors.

Increasingly, clients are looking for the firm to take on a larger scope in pre-treatment of their unique brines, which is critical for electrolysis performance. This project aims to develop and improve a number of Firm’s specific brine treatment processes to improve operations of our electrolysis processes. In addition, test systems will be operated to validate electrolyser performance with the new brine specifications.

The firm will engage with a consultant to produce an IP strategy report for the firm.

The Carleton Immersive Media Studio (CIMS) — working with the National Research Council (NRC) and Department of National Defence (DND), and in collaboration with Building Smart Canada (bSC) and the Open Geospatial Consortium (OGS) — proposes the development of exchange information requirements (EIR) and a browser-based digital twin platform to support the management of federal built assets. Paraphrasing Michael Grieves, we understand a digital twin to be comprised of three essential components: “i) real objects in real space, ii) digital objects in digital space, and iii) the exchange of data and information between real and digital objects and spaces. The proposed digital platform will integrate and visualize diverse multiscale and multidisciplinary data sets required for the management of built assets. Aligning with the “Greening Government Strategy” and ISO 19650, this integrated platform will facilitate whole life cycle management throughout the design, construction, operations, and decommissioning of built federal assets. The platform will enable multidisciplinary collaboration, project management, and accountability.

The development of high protein crop varieties is a critical process to meet the future demand for dietary protein. Chickpea is an important commodity in the plant protein sector, which would benefit from advanced plant breeding techniques including genome editing. This project focuses on the development of high protein chickpea varieties using genome editing. Genome editing can be utilized to enhance the production and accumulation of seed protein, which would add value to seed processors and food ingredient manufacturers. AgGene has identified a set of candidate genes that can be disrupted and modulated to increase seed protein content through genome editing. This project will help establish genome editing practices to help expedite the development of new traits and technologies that can increase competitiveness and value of chickpea commodities.

Integration of AI to analyze the data required for the identification of processed units and the mandatory reporting of recyclers.

The project will involve a detailed review of available data that can contribute to precision quantification of forest resources, collection of existing datasets that will provide value in the analyses, a literature review and tech scan to determine the most appropriate tools and techniques to leverage data, and development of automated processes to quantify forest resources at the stand level.

As part of the international consortium project “FAST- Fast AI-assisted Study Triaging (FAST), Patient Diagnoses & Advanced Workload Balancing”, this project will focus on integrating RealTime Medical (RTM) products with Milvue's to create a unique process innovation and service, accessible by all hospitals, clinics and radiology groups.
The combined solution leverages the advanced diagnostic workload balancing, workflow management and AI interface functionality, developed by RealTime with the support of NRC-IRAP and the AI assisted detection technology of our France partner, Milvue, for which regulatory approval has already been granted in Europe (approval pending in Canada and the US).