Leveraging Large Language Models for Sales & Customer Success Automation

Mash helps revenue teams at technical B2B companies streamline pre- and post-sales activities by automating knowledge-intensive tasks such as answering product questions, managing bug reports and feature requests, and prepping for meetings. Its AI platform leverages data buried in messaging platforms, wikis, CRMs, and other internal tools to deliver timely, context-aware assistance to individuals in […]

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L2M-Materiax AI

This project will explore the market potential of a new technology that uses advanced artificial intelligence, powered by both classical and quantum methods, to help companies discover new materials faster and more efficiently. The intern will work closely with mentors and industry experts to identify which industries can benefit the most from this innovation and […]

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L2M MITACS-Market Assesment for CardiAxis Medical

The study team has developed a software program called SHARP-VT that doctors can use to quickly plan non-invasive treatments of irregular heart-beats using external-beam radiation therapy. In this study the candidate will conduct a detailed review of the commercialization potential for this software program in the North American and European Union markets. This review will […]

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L2M – Commercialization of Natural Polymer-Based Wound Dressings

In collaboration with the Lab2Market Validate program, our goal is to transition our natural polymer-based wound dressing from the lab bench to commercial scale. Designed specifically for individuals with chronic wounds and fragile skin conditions, our hydrogel-based dressing aims to fill a critical gap in the market. Through the program, we seek to deepen our […]

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L2M – Wonder Guard: An Integrated Catheter Bag Module with Electrochemical Biosensing and Machine Learning for UTI Detection

Wonder Guard is an advanced catheter bag system that uses electrochemical biosensors and machine learning to detect urinary tract infections (UTIs). The device is a module add-on to existing hospital catheter systems that can continuously produce and analyze data to monitor UTIs, with faster results than standard urine cultures and richer insights than urine dipsticks. […]

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L2M Augmented Reality Sensorimotor Training

The proposed project focuses on launching an augmented reality sensorimotor training (ARST) system to help individuals with chronic neck pain (CNP) manage their condition more effectively. ARST is designed as an engaging, non-invasive, and accessible at-home therapy that retrains sensorimotor control using augmented reality technology. The project aims to validate the business model, integrate ARST […]

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L2M – Study for the Smart Risk Assessment & Micro-Segmentation of Networks

This project aims to develop an innovative and novel cybersecurity solution tailored for Canadian small and medium-sized enterprises (SMEs), focusing on smart risk assessment and automated network segmentation. Many SMEs lack full visibility into their IT infrastructure, leaving them vulnerable to cyber threats. This project will study the challenges and needs of SMEs across different […]

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