TRLUP– Zester

Many Canadian companies and researchers struggle to find affordable, secure, and easy-to-use data labelling tools. Most existing platforms are foreign-owned, which can cause privacy issues and make it harder for small teams to work with sensitive information. It also prevents us from building local expertise and jobs in AI data management. Zester aims to solve […]

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L2M – NexusNeuro Portable EEG Validation

Diagnosing neurological conditions like epilepsy is often difficult because clinicians rely on brief, in-clinic brain activity recordings, which may miss crucial events. To solve this, our company, NexusNeuro, is developing a “Neurological Holter Monitor” — a discreet, wearable EEG device that allows for continuous, long-term brain monitoring in a patient’s everyday environment. While we have […]

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L2M – Multi-layered Collagen Scaffolds for Periodontal Regeneration

This project is developing a new type of collagen-based material that can help reattach loose teeth caused by severe gum disease or injury. When gum tissue and bone are damaged, teeth can loosen or fall out because the natural structures that anchor them are destroyed. Current treatments only partially repair this damage and often fail […]

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L2M – SeeVita: AI-Powered Contactless Realtime Vital Sign Estimation

Accurate and accessible blood pressure monitoring remains a challenge for individuals, wellness providers, and organizations such as insurers that require reliable health data. Existing cuff-based devices are often inconvenient, intrusive, and unsuitable for continuous or large-scale use. There is a growing demand in the wellness, fitness, and insurance industries for technologies that make health monitoring […]

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MoCaP–ScoRe: Markerless Motion Capture for Precision Scoliosis Rehabilitation

Adolescent idiopathic scoliosis (AIS) is a common spinal condition that affects posture, movement, and quality of life. Deficiencies in proprioception, the body’s sense of position and movement, may play a role by disrupting balance and postural control, contributing to spinal misalignment. Scoliosis is typically assessed with static images such as X-rays, which cannot show how […]

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L2M – Designing and validating an AI-based, user-centered tool to assess discourse skills in individuals with aphasia

Up to 40% of stroke survivors can experience aphasia, a language disorder that affects a person’s ability to speak, understand, read, or write. However, one of the most effective ways to accurately assess aphasia, discourse analysis, remains underutilized. Discourse analysis is usually time-consuming and performed manually, leading to varying results between clinicians. It can also […]

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L2M ParkinSense

This project aims to validate and strategically position an innovative digital health solution designed to monitor tremors in individuals with Parkinson’s disease. The system integrates a wearable sensor and a mobile application to provide continuous, objective measurements of tremor severity and patterns — data that are traditionally collected subjectively and infrequently during clinical visits. Over […]

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TRLUP – Adaptive Radar Health Monitoring with RIS Support and Machine Learning

This project will develop and test an adaptive radar system that can monitor a person’s vital signs and detect falls without the need for wearable devices or cameras. The system uses advanced radar hardware and intelligent software to track heart rate, breathing, and movement safely and privately, even in real home or care environments. The […]

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TRLUP–New AML Compliance Platform

CanAML Intelligence is an AI-powered compliance platform being developed to modernize Anti-Money Laundering (AML) operations for Canadian financial institutions. The project focuses on building explainable, automated risk detection and FINTRAC-compliant reporting workflows.

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TRLUP-QuantumSecure Wireless Hub

Developing QuantumSecure Wireless Hub: quantum-safe wireless security integrating Quantum Key Distribution with wireless infrastructure to protect against current cyber threats and future quantum computing attacks. Addressing the $36B quantum cybersecurity market opportunity

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TRLUP – ML Insights and Metrics

More than 90% of pharmaceuticals fail to impact fail to pass regulatory approval due to toxicity or lack of effectiveness. 50% of those failures have the potential to impact patient lives and existing therapeutics can be repurposed to expand therapeutic options if they can be delivered in smaller dosages to where they are needed most. […]

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TRLUP- Drawing to diagnose: a gamified diagnostic tool for Parkinson’s disease

This project aims to make a fun, game-based screening tool that helps detect Parkinson’s disease by assessing motor and cognitive function without needles, expensive tests, or stressful doctor visits. Users play a multi level drawing game on a computer or tablet while our artificial intelligence analyzes their handwriting and movements to predict disease risk. This […]

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