L2M – AI Driven Predictions for Safer Drug Use in Pregnancy

FetoSafe is an AI-powered startup designed to predict whether small-molecule drugs can cross the placental barrier and reach the fetus. This remains a major challenge in maternal healthcare, as most medications lack reliable data on fetal exposure. FetoSafe uses only the SMILES representation of a compound, capturing its chemical structure, to estimate the risk of […]

Read More
L2M – MAP Medicine

Luma is an augmented reality (AR) surgical navigation platform designed to help surgeons see important blood vessels and anatomy directly on a patient during surgery. Right now, surgeons often have to rely on memory or markings to make decisions, which can lead to longer, riskier operations. Our project will explore who buys new surgical tools […]

Read More
Empowering HR Decisions through Explainable Agentic Intelligence and Predictive Analytics

The current landscape of human resources faces significant challenges in streamlining job documentation and job evaluation processes, which are critical for consistent, efficient, and defensible compensation-related decisions. Laulima Consulting Inc., as the partner organization, aims to overcome this by developing an AI-powered tool that supports the end-to-end creation and evaluation of job descriptions. The core […]

Read More
L2M Project – Salyx Medical Inc.

Salyx Medical is advancing a proactive health monitoring solution designed to protect seniors and individuals with chronic conditions who live alone, addressing the critical gap left by reactive tools like fall detectors or emergency buttons. The project focuses on overcoming challenges related to establishing strategic partnerships and executing real-world pilot studies—key steps in validating the […]

Read More
L2M Validation / Qc Automne 2025 / Polarys Data (projection pour le nom de l’entreprise)

Polarys Data est un projet qui vise à aider les gouvernements à mieux utiliser les données publiques pour prendre des décisions plus efficaces. Actuellement, ces données sont souvent dispersées, difficiles à consulter et à comprendre, ce qui ralentit les processus et augmente les coûts. Polarys propose de rassembler automatiquement ces données dans une plateforme intelligente […]

Read More
L2M – ITASpheres

Periodontitis, or advanced gum disease, is a chronic inflammatory condition that affects roughly 1 in 3 North Americans. In severe cases, periodontitis leads to tooth and bone loss, but it’s also been linked to a range of serious health conditions including heart disease, diabetes, respiratory illness, autoimmune disease, and even Alzheimer’s. Despite its prevalence and […]

Read More
L2M Validation / Qc Automne 2025 / NodusAI

Les gouvernements, hôpitaux et banques détiennent d’immenses volumes de données précieuses, mais les lois strictes sur la confidentialité et les risques de sécurité rendent toute collaboration presque impossible, freinant l’innovation et limitant la performance des modèles d’IA. De ce fait, les hôpitaux ne peuvent pas bénéficier de modèles de diagnostic partagés et entrainés par plusieurs […]

Read More
L2M – PFAS Free Moisture Barrier Layer for Firefighting and Related PPE

We are seeking to bring to market a new moisture barrier layer for firefighting and other protective gear. Currently used PFAS based moisture barriers dominate the market but are responsible for causing both cancer and microplastic water contamination. Efforts to find effective alternatives are hampered by the need for replacement products to meet high performance […]

Read More
L2M – Lumos Smart Light Therapy Glasses for Sleep and Mental Wellness Commercialization

This project will help an intern develop Lumos, a made-in-Canada light therapy glasses venture that aims to improve sleep and alertness. With support from the Lab2Market program, the intern will gain practical experience in identifying target users, developing a go-to-market strategy, and collecting early product feedback. Lab2Market will provide mentorship, training, and access to a […]

Read More
L2M – Early detection of Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) affects up to 20% of pregnancies in Canada and is often diagnosed late, between 24–28 weeks, leaving limited time for preventive action. This delay can lead to serious complications for both mother and child, including preterm birth, macrosomia, and long-term risk of type 2 diabetes. Women with infertility, PCOS, insulin resistance, […]

Read More
L2M – BioRush

Forensic analysis of biological evidence typically takes weeks, sometimes years. Through years of research, we have developed tools that can automate the workflow in a forensic lab, enabling processing complex samples such as sexual assault evidence in 4 hours. BioRush enables forensic labs to treat all cases as rush cases. BioRush integrates and automates all […]

Read More