Over 80% of the working population in Canada will experience lower back pain (LBP). Despite the large industry revolving around office ergonomics, the current state of research suggests that there is no scientific evidence that prolonged sitting causes LBP. VErgo aims to bridge the gap between consumer device and ergonomics research by achieving large scale data collection of long term risk factors for LBP using motion capture technology.

HindSyght is a bicycling accessory that provides users with situational awareness based on the position and speed of nearby vehicles. Our product is designed to reduce the time cyclists spend looking over their shoulder such that they can focus on navigating the road directly ahead of them. Based on image processing and lidar measurements, it notifies the user if they are in no danger, low danger, or high danger through a combination of visual and auditory feedback.

Human-induced climate change continues to increase the frequency and intensity of climate extremities around the world. Canary is a tool that enables businesses and organizations to conduct climate risk assessments to inform the prioritization of climate adaptation strategies. The self-serve tool leverages geographic, physical, and societal vulnerability data to generate a profiled risk report custom to the physical property under assessment. Canary hopes to give every community the insight they need for a safe and protected future.

A state-of-the-art recommendation system for one of Canada’s top tech blogs and largest IT publishers (IT World Canada) powered by machine learning and based on live user/article data analytics from the blog site and research from distinguished staff members at IBM. Utilizing best systems design, usability testing, and software development practices, the recommendation engine model and corresponding API were successfully integrated with the existing website to suggest personalized articles to users using the technical principles of novelty, diversity, and relevance.