Grants and Contributions

The project will support development of intellectual property capacity within the firm.

Creation of a gaming applicant and regulator-facing white-labeled product that allows applicants to securely submit sensitive personal and business disclosure data directly to regulatory bodies for suitability investigations.

This project will provide new grads a unique opportunity to work with a cutting-edge clean-tech company and make a meaningful impact on the transition to a more sustainable energy future. This will be done through business development initiatives targeting Independent Power Producers (IPPs).

The technological objective of our project is to develop an algorithm capable of tracking and analyzing user behaviour on websites, and delivering dashboard analytics and reports on website usage without resorting to cookies, thereby perpetually complying with data privacy laws and regulations. In contrast, Google Analytics, the current market leader in the web traffic attribution space, is fundamentally centered around the use of cookies. Metricsflow’s approach is a potentially disruptive technological discontinuity.

The current research initiative is the next research step after our initial IRAP project 991929. Currently we are doing research to scale the process of converting a clean maciated Tunicate biomass material and convert it into purified cellulose material as a product that will be the feed stock for processing cellulose nano crystals.
The original research was done at the bench scale. The goal for the current research is to develop a process that uses available industrial equipment so that we can demonstrate the process with the ability to scale it further into a future pilot plant and then commercial production plant.

Development of a platform to standardize, automate and centralize the delivery of custom geo-located augmented reality experiences.

Redesign of the software platform to improve the ability to collect, organize and analyze user data. The new platform will notably measure the impact of virtual group activities on the performance and well-being of an organization’s members, based on research related to the theory of self-determination.

Exploration to determine the extent to which Large Language Models based on Generative AI principles are suitable.

The research and development of the High Temperature Dry Kiln Probe will focus on the development of a fixed kiln probe that will not require continuous retraction to operate, and will not require cooling medium (i.e. water, glycol …etc.) to prevent damage to the material of construction.

Generative AI can be used in HR systems to perform a myriad of functions: it can rank candidates, create job descriptions, generate ideal skills for a job description, create interview questions, as well as many other HR tasks. However, generative AI systems have been shown to contain implicit and explicit biases, hate, and other negative traits based on the data they have been trained upon. Testing these systems for bias is difficult but will become a requirement, starting with the New York City Local Law 144 and the upcoming EU AI Act. In this proposal, we aim to develop a test framework for testing these systems and making them more robust.