Grants and Contributions

This project provides a feasibility analysis of developing a cost-effective apple harvesting robot. The outcomes will highlight critical technical challenges to address in future phases.

AgriAssure will develop foundational business development capabilities through structured mentorship of a recent graduate in lead generation, partner research, CRM management and the creation of internal sales tools to support market expansion in Canada and LATAM, contributing to agricultural technology compliance solution growth.

Development of an alcohol-free, low-sugar Asian wine-type beverage.

This project represents a comprehensive artificial intelligence initiative that will be strategically integrated across the entire IBRA product and service platform, significantly enhancing functionality, accuracy, and market value. Ratings IQ represents a transformative evolution in biomass supply chain assessment, combining advanced machine learning, predictive analytics, and natural language processing to dramatically enhance and expand the efficiency, market value and catalogue of IBRA’s rating services, and solidify Ecostrat’s position as the undisputed global leader for feedstock ratings in the cleantech sector.

The project introduces a new product to add to Beck’s Broth existing line of functional beverages.

This is an R&D project to develop Ai functionality for our core technology, the L Squared Hub to make it easier for customers to present critical real time information from their business operations to their staff in Manufacturing plants.

The use of automated prognostic imaging biomarkers in clinical practice may enhance (re-) staging and response assessment, as it could inform more personalized treatment selection and patient monitoring, which in turn could lead to improved patient outcomes. The purpose of this project is to develop automated, deep learning-based imaging biomarkers that predict outcomes of breast cancer patients with solid tumors based on various modalities of medical imaging.
By enabling an artificial neural network to “learn” what visual features in thousands of imaging studies are associated with respective patients’ actual future outcomes, the resulting deep learning algorithm will be able to predict survival for a new patient’s imaging study.

Press’nXPress will develop a multi-agent AI engine for real-time analysis of customer experience. This system will benchmark performance across segments, detect gaps in service quality, and identify key drivers of customer satisfaction.

Gummy Nutrition Lab is developing microencapsulation technology to protect sensitive ingredients during gummy manufacturing, thereby improving stability and efficacy. This innovation expands the functional potential and shelf life of nutraceutical gummies.

JL13 Concepts is developing a Trust Index, an AI-powered scoring engine that utilizes behavioural, social, and engagement data to assess user trustworthiness. The purpose is to use the trust index for financial purposes by being used to unlock access for underbanked populations excluded by traditional credit systems. The primary challenges are ensuring consistent outputs across diverse users, explainable building models, and minimizing bias, particularly in edge cases. The Trust Index aims to establish a fair and transparent standard for inclusive digital finance.