Grants and Contributions

The firm wishes to develop, implement and optimize a digital/growth marketing strategy to benefit the firm with its sales revenues, increase product awareness and reduce sales and marketing costs.

The firm wishes to develop, implement, and optimize a digital/growth marketing strategy to benefit the firm with its sales revenues, increase product awareness, and reduce sales and marketing costs.

This project aims to develop a novel in-service concrete pipe wire break detection AI system that features an advanced deep learning models and an intuitive Graphical User Interface. This project is poised to deliver significant social and economic benefits by fundamentally transforming electromagnetic (EM) analysis solutions, improving accuracy and operational efficiency for wire break detection in concrete pipe. The innovative AI system allows engineers to rapidly detect wire breaks in critical concrete water mains, offering a cost-effective and scalable solution crucial for building market trust and fostering the adoption of advanced diagnostic technologies.

This project will test hypotheses and experiment with new mechanisms to design (or optimize) a repeatable and scalable business process, which may result in new business methods for online digital channels.

The project will focus on developing a novel, sustainable process for extracting metals from metal-coated plastic.

Youth candidate will support the further development of MediNav - a cutting-edge appointment scheduling platform that enhances healthcare access by offering unified visibility across multiple clinics.

This project investigates the use of cardiac-derived biological particles as a novel, non-invasive therapy for atrial inflammation in a rat model that mimics postoperative atrial fibrillation. The particles will be administered and assessed for targeted uptake by heart tissue. The ultimate aim is to demonstrate that this approach can prevent atrial fibrosis and halt the progression of atrial fibrillation.

The project focuses on the condition assessment and performance evaluation of existing civil infrastructure using advanced non-destructive testing (NDT) methods powered by AI-driven data analysis. To achieve this, FPrimeC will develop a labeled and validated inventory of various types of damage in civil infrastructure. This inventory will be used to train a machine learning model capable of automatically detecting different types of anomalies (e.g., cracks, voids, delamination, and corrosion signatures). Once the development is completed, the trained model will be applied to evaluate the current condition of structures, predict the remaining service life, and anticipate potential failures by integrating a digital twin technology.

The goal of this project is to improve temperature control and predictability using advanced integrated cooling technologies, eliminating the need for multiple external systems. This reduces complexity, cost, water & energy consumption, and increases control, reliability & access to data.

Leveraging our existing large enterprise partnership, this project aims to investigate a channel sales program in Japan to drive revenue growth by integrating Softdrive deeply into the market through localization, automated product delivery (including support and AI language translation), and iterative product development. Working closely with enterprise in Japan, we will identify and convert leads, onboard strategic industry clients (manufacturing, technology, services), and develop strong client and R&D partnerships to ensure successful market penetration.