Flashana Technologies Inc. develops software products in retail supply chain, specifically predictive analytics for inventory management. Current challenges include: (1) Data harmonization, where manual field mapping consumes a large portion of onboarding time. (2) Algorithmic competitiveness, while competitors deploy classical forecasting, Flashana targets developing AI/ML integrates model that combines customer history with external factors to […]

Musculoskeletal systems are responsible for the rich and diverse ranges of motion and behaviors exhibited by all sorts of animals, including humans. Recreating these motions is key for applications in medical simulation, robotics, and virtual reality. Unfortunately, modeling even simple control tasks such as grasping or locomotion with such musculoskeletal systems is extremely difficult. The […]

Chemia is developing an online platform that helps R&D engineers and scientists find, compare, and design better materials for their products using a comperehsnive database of materials, their properties and scientific validation tools. We primarily focus on inorganic materials in areas like clean energy and electronics. This project will enhance the material intelligence, innovation, and […]

Le projet vise à structurer et exploiter la base de données de NexWav afin d’entraîner des modèles prédictifs avancés en intelligence artificielle. Cette initiative permettra de : • Optimiser le jumelage entre candidats et opportunités : en identifiant les meilleures correspondances entre les profils des talents et les besoins des entreprises, réduisant ainsi le temps […]

Buddha Health Products is an emerging health technology company focused on non-invasive wellness monitoring and personalized therapeutic solutions. Its primary activities involve developing smart actuator devices integrated with digital platforms to track health metrics and deliver targeted interventions. The company has already completed hardware R&D and, in collaboration with WIMTACH, finalized the UI/UX design. The […]

Obstructive sleep apnea (OSA) is common in 10% of adults and is associated with increased cardiovascular morbidity and mortality. Furthermore, there is a 3-fold increase in OSA prevalence in fluid retaining patients such as those with heart failure. Evolving evidence suggests that fluid accumulation in the neck could narrow the upper airway (UA), increase its […]

Recent advances in computational neuroscience underscore the value of biologically accurate models integrating multimodal neuroimaging to simulate brain activity realistically. Deep brain areas like the hippocampus, crucial for memory and cognition, pose challenges for non-invasive study due to their complex dynamics. The Region-Specific Brain Network Model (RSBNM) addresses this by combining Neural Mass Models, high-resolution […]

This project aims to create a communication tool that works without the internet by using mesh networking technology. It is designed to help workers in remote or dangerous areas stay connected, even during emergencies like power outages or network failures. The system can send important information such as location, temperature, and gas levels between devices. […]

This project is to build a smart traveler assistant (STA) software system for Free Independent Travelers (FIT). FIT is a travel style where a person plans and books all aspects of their trip themselves, including transportation, accommodations, and itinerary. This STA could plan and book the itinerary before traveling and could replan and rebook the […]

This research-based project aims to make developing virtual reality (VR) applications faster and easier by using generative AI tools. By streamlining the development process, the project can help both companies and individual developers save time and resources. This is especially valuable for Calgary’s growing community of VR businesses and research labs. Overall, the project supports […]

Artificial intelligence (AI) is increasingly used to make high-stakes decisions in fields like finance, insurance, and healthcare. However, most of AI systems function as “black boxes,” producing results without clear explanations. This lack of transparency can lead to serious consequences, such as denying loans to creditworthy individuals or making unfair risk assessments. The AsbabAI aims […]

This project focuses on researching and developing an advanced coordination mechanism between our API layers and LLM infrastructure. The goal is to efficiently access and reason across both structured and unstructured data sources to improve customer’s decision-making processes. Success will be measured by the speed in which that data source can be identified, sourced, and […]