Grants and Contributions

The devices physical form factor, liquid media and electrical circuit parameters are to be modelled as a system, in an AI/machine learning environment to optimize the parameters for generating a high quality seismic signal.

This project advances the commercialization of an AI‑enabled assistant that transforms natural language into structured, executable scenarios for simulation, training, and decision‑support environments.

Design and develop a GenAI-Assisted Reporting tool that allows compliance professionals to query regulatory data in natural language and receive accurate, secure, permission-appropriate answers.

The purpose of this project is to experimentally adapt and validate PolyML’s advanced feature-selection and feature-importance technology for application to Anti-Money Laundering (AML) datasets, using publicly available data sources.

The work will focus on algorithmic improvements, adaptation of advanced feature engineering, performance benchmarking, validation and interpretability.

An AI driven training platform that simulates real customer interactions using voice analytics and conversational AI, enabling employees to practice communication, sales, and service skills while receiving automated performance coaching.

The voucher funding program supports Canadian SMEs by connecting them with academic researchers to help develop R&D capacity and reduce risks associated with pursuing new business opportunities. It prioritizes inclusivity by supporting rural, northern, Indigenous‑owned businesses and those led by women and other equity‑deserving groups that often face barriers in accessing research expertise. The program facilitates collaboration through outreach, training, and structured meetings, with measurable targets aimed at generating professional R&D Scopes of Work and advancing projects toward full‑scale research initiatives.

This project will provide resource to explore Natural Language integration with databases, text retrieval and analysis of reference material in a financial environment.

HPN has completed development of an MVP of an AI-Enabled Consultancy Management Platform using data science, artificial intelligence (AI), and machine learning (ML) techniques to hyperscale its unique business model. The expected outcomes from this platform will be scale up of revenue internationally along with improved operating margins; enhanced member and customer experience through self-service and AI concierge services; and innovation in our business model by unlocking the predictive and learning capabilities of our data.

The current project will involve the initial commercial, product grade release of the platform to a limited subscriber base to complete commercial testing in preparation for a broader commercial release.

First, a multi-user classroom mode for BoDesk and BoQuest that enables teachers and students to participate in shared braille learning activities within a single-device environment, reducing hardware barriers in schools and group learning settings. Second, an AI-powered adaptive learning engine for BoQuest that personalizes content delivery for adult learners, adjusting curriculum sequencing and difficulty based on individual progress — enabling fully guided, self-paced braille literacy without a teacher present.

This project researches an AI-driven adaptive learning system that ingests unstructured content, organizes it into a structured knowledge graph of interconnected concepts, and delivers personalized learning experiences.