This project focuses on building a scalable internal operations platform for MyBeacon to replace its current Retool-based system and support growing transaction volumes and product complexity. The platform will automate reconciliation, provide real-time visibility into transaction states, and introduce configurable workflows that reduce reliance on engineering teams. It will also implement stronger operational controls, such […]

Le projet vise à développer un agent d’intelligence artificielle auditable capable d’extraire, d’organiser et d’analyser automatiquement des données financières provenant de documents non structurés déposés auprès de la SEC par des entreprises cotées, sur plusieurs années. Ces documents peuvent inclure, par exemple, des rapports annuels, des états financiers et d’autres publications d’entreprise. L’objectif est de […]

This project aims to detect and analyze automated bots responsible for spreading misinformation on various social media platforms by identifying abnormal patterns of behavior. By using data science and artificial intelligence methods, such as machine learning and network analysis, combined with insights from political science, the research will map how false information spreads online and […]

EffectiveAI Inc. is an Ontario-based company dedicated to revolutionizing the Emergency Services industry using advanced Artificial Intelligence (AI) and Neural Network technology. Their mission is to enhance operational efficiency and effectiveness in public safety, currently engaging with five municipalities across Ontario. In a previous collaboration, the WIMTACH team developed and optimized an AI model to […]

Modern software projects rely on automated pipelines (like GitHub Actions) to build, test, and deploy code. While these systems make development faster, small mistakes in their setup can create serious security risks, such as leaking sensitive data or allowing attackers to change how software behaves. This project focuses on identifying and understanding these hidden risks. […]

This project will build an AI-powered question-and-answer platform that helps creators and expert-led brands respond to customer questions more efficiently across channels like social media and a dedicated app. The system will organize incoming questions, support payment and answer workflows, and turn approved answers into a searchable knowledge base that can be reused over time. […]

This project aims to develop a set of application-oriented example models demonstrating the capabilities of the NOA Arch1 FPGA platform using a model-based MATLAB/Simulink workflow. The developed examples will cover multiple engineering domains, including power electronics, biomedical signal generation, artificial intelligence inference, and avionics laboratory signal validation. By producing validated and reusable demonstration models, the […]

Sensor Technology Ltd. develops advanced underwater sensing systems, including towed hydrophone arrays and related signal-processing/analytics used in maritime monitoring. The WhisperLoop project is SensorTech’s initiative to operationalize AI-enabled detection, classification, and localization on compact, low-power edge hardware integrated with thin-line towed arrays. The project addresses key challenges SensorTech faces for deploying a field-ready capability: (1) […]

GPS works poorly in dense city environments because tall buildings block satellite signals. This project will test whether a new type of ultra-sensitive sensor—a quantum magnetometer that measures tiny changes in the Earth’s magnetic field—can help drones and future flying taxis (Urban Air Mobility) figure out where they are when GPS fails. The research team […]

The proposed project will improve Global Maritime Canada’s document intake and record-keeping process by developing an AI-assisted workflow that streamlines how project documents are reviewed, organized, and logged into an existing internal environment. By reducing repetitive manual steps and standardizing the information captured at intake, the project aims to improve operational efficiency and the quality […]

Cities face significant challenges in maintaining infrastructure due to inefficient reporting processes, duplicate submissions, and reactive maintenance approaches that address problems only after they become serious. In 2023, the City of Edmonton developed the REPAIR AI platform to address pothole management, demonstrating the potential of AI-driven solutions for infrastructure maintenance. The Community Driven project will […]

L’analyse prévisionnelle des surplus ou des déficits énergétiques pour le parc de production d’Hydro-Québec est primordiale pour l’entreprise. Elle définit les stratégies des stocks cibles (niveau des réservoirs) sur le moyen long terme et les contrats d’échanges avec les réseaux voisins. En 2025, deux approches de modélisation sont considérées opérationnellement pour faire la prévision énergétique. […]