This project aims to develop a scalable, data-driven model for regional food distribution that connects local producers with restaurants, retailers, and institutions through an efficient cold-chain supply network. By addressing current logistics challenges—such as fragmented delivery routes, inconsistent volumes, and lack of shared infrastructure—the project will design a system for demand aggregation, route optimization, and […]

The Interactive Multisensory Physical Movement (IMPM) model addresses a critical and growing gap in pediatric neurodevelopmental care. It offers a rigorously designed, non-pharmacological therapeutic approach for autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD). Current treatments often focus on short-term symptom management, have adverse side effects, and produce limited long-lasting improvements in social […]

Globally, there have been challenges in pulling together data, analyses, epidemiological insights, and unusual infection disease trends into comprehensive and regular reporting, that support pharmaceutical and life sciences organizations with timely intelligence for decision making. BlueDot has the knowledge and expertise to bring together these insights in a highly visual, easily understandable regular reporting format, […]

This project focuses on launching and evaluating the NewGen Smart-Cup platform in clinical settings. NewGen Smart-Cup enables rapid, digital urine testing to support early detection of conditions such as preeclampsia and gestational diabetes. Building on prior validation work, this phase will study how healthcare teams adopt and integrate the technology into existing prenatal care routines. […]

This project will help Oncolinc Therapeutics, a cancer therapeutics company, build a clear strategy for bringing a new type of cancer treatment to market. Oncolinc Therapeutics is developing therapies that target long non-coding RNAs (lncRNAs), which are molecules that help some tumours hide from the immune system and resist current immunotherapies. Oncolinc needs guidance on […]

InsurEasy is a multilingual AI insurance agent that provides Canadians with transparent, commission-free coverage recommendations, making insurance more affordable and easier to understand for everyone.

This project explores how to make clean hydrogen production more accessible and affordable by designing a Mobile Hydrogen Production Unit (MHPU) that runs on renewable energy such as solar or wind. The unit will be small, portable, and capable of generating hydrogen on-site for use in remote, off-grid, or temporary locations that currently depend on […]

Polyamide (PA), particularly PA6 and PA66, is a vital engineering polymer used in automotive, aerospace, electrical, and textile industries because of its strength, heat resistance, and durability. However, most commercial grades are petroleum-based, energy-intensive, and difficult to recycle due to strong hydrogen bonding and high melting temperatures. In Canada, the recycling and upcycling of polyamide […]

Le projet CyberSoc_AI vise à rendre la cybersécurité des organisations plus intelligente et plus efficace grâce à l’intelligence artificielle explicable. Aujourd’hui, les centres de surveillance informatique (SOC) reçoivent chaque jour des milliers d’alertes, dont une grande partie sont des faux positifs. Cette surcharge ralentit les équipes et augmente les risques d’incidents non détectés. Le stagiaire […]

Le projet CytoReGen vise à transformer le CO2, un gaz à effet de serre problématique, en méthane renouvelable utilisable comme source d’énergie propre. Pour ce faire, l’équipe se charge de développer un bioréacteur innovant qui utilise des enzymes spéciales pour fixer et convertir le CO2 industriel en méthane, créant ainsi une solution doublement bénéfique : […]

This project aims to develop an AI-assisted decision-support system for embryo quality assessment in in-vitro fertilization (IVF) laboratories. Current evaluation methods, such as the Gardner grading system, rely on subjective visual assessment, leading to high inter- and intra-observer variability that affects clinical decisions and training consistency. The proposed system will combine computer vision and natural […]

Ce projet vise à simplifier la création d’applications sur plusieurs plateformes (web, mobile et bureau) grâce à une nouvelle approche basée sur des composants logiciels réutilisables. Plutôt que de recréer les mêmes fonctionnalités pour chaque système, les développeurs pourront assembler des blocs prêts à l’emploi, ce qui réduit le temps, le coût et la complexité […]