Grants and Contributions

This project adapts AI-powered woodpile scanning technology, originally built for industrial woodyards, for use in remote forest worksites. Using 3D imaging, edge computing, and geolocation, the system can measure and classify timber piles accurately, even under partial obstruction and without internet access. The solution helps reduce GHG emissions, improve resource allocation, and digitize forestry logistics in rugged, unstructured environments.

Delegation led by the National Research Council of Canada Industrial Research Assistance Program (NRC IRAP) to establish relationships with key customers, end-users, and other international firms, which will help set the stage for potential Canadian projects in the upcoming Eureka ITEA Cluster call for proposals.

TutorBright is developing an AI-powered matching and scheduling system to improve the delivery of tutoring and other person-to-person services. The platform uses constraint optimization and machine learning to match users based on availability, qualifications, and historical performance data, as well as industry specific variables. The project will be co-developed with international partners and adapted for applications in education, training, and workforce development, with strong commercialization potential across multiple service industries such as personal training, mental health therapy, social work, coaching, etc.

This project aims to develop a manufacturing process and formulation that allows cannabis extract (distillate)-infused pre-rolls to be produced using automated pre-roll equipment. The goal is to overcome material handling and compatibility challenges by altering the texture and flow properties of infused material.

This project aims to determine the feasibility of developing a machine learning model for vineyard yield prediction by investigating optimal approaches, establishing a technical foundation for development, and validating its technical viability.

Delegation led
by the National Research Council of Canada Industrial Research Assistance Program (NRC
IRAP) to establish relationships with key customers, end-users, and other international firms,
which will help set the stage for potential Canadian projects in the upcoming Eureka ITEA
Cluster call for proposals.

Feasibility study to advance proprietary black mass pre-treatment process for lithium-ion battery recycling.

(EMCC) is actively pioneering the use of additive manufacturing (AM) to design and fabricate custom End-of-Arm Tooling (EOAT). This tooling is specifically tailored for the company's medium- and high-voltage stator coil production, which plays a critical role in Canadian nuclear and hydroelectric power generation systems to N299 standards.

Field trials of DC ultrafast charger capabilities in a commercial environment.

The goal of this project is to establish new world-class document analytics with extremely high accuracy that can empower professionals to identify facts and gather key information from documents so that they can more easily make quick and accurate decisions. SiftMed’s AI-based document analytics will classify documents and extract structured information to power investigative tools that provide meaningful insight into the content of medical documents.