Grants and Contributions

Rain Technologies Inc. is enhancing its next-generation financial planning engine by implementing multi-dimensional financial modeling and scenario planning.

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.

This Project will involve research, then development of a prototype demonstration vessel using zero GHG engine for maritime passenger transport and coastal activities for fishing and tourism in India.

This is an international collaborative R&D project under the Canadian International Innovation Program between the Canadian Firm, Acel with its expertise in electric marine propulsion systems, and the Indian Firm Vijai Marine Services PVT. LTD (VMSPL), which has the engineering skills to develop highly-optimized passenger and tourist vessels in the Indian Sub-continental market.

A system will be designed that will provide real-time information on downhole conditions during the oil and gas well construction phases that are not addressed by current drilling telemetry. Enhanced decision-making will lead to more reliable and cost-efficient operations.

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.

2666254 Ontario Inc is advancing the development and adaptation of ROSY, its proprietary real estate conveyancing platform, for deployment in the United States. This project will enhance AI-driven automation, expand regulatory compliance capabilities, and increase capacity for processing high volumes of real estate and mortgage transactions. By strengthening 2666254 Ontario Inc’s market leadership in Canada and enabling entry into key U.S. states, the initiative will foster job creation, revenue growth, and technological innovation within the legal services industry.

The Project goals are to optimize the design of the McGill University innovation, nanodigital inline holography microscopy (AI-Nano-DIHM), such that it can be portable and deliver accurate results in real-time, remote settings of nano and microplastic detection, and four-dimensional physicochemical capability that is necessary to enable more precise identification of pollution hotspots and enhance the remediation and recycling of nano- and microplastic pollution, both in Canada and globally. Existing commercial technologies must support in situ, real-time detection while also providing physicochemical information. Despite the availability of numerous research technologies, there remains an unmet need for real-time and in-situ, four-dimensional physicochemical analysis of nano/microplastic particles. The team will conduct tests and comparisons with input from several independent stakeholders and develop data needed for modelling and sound policy. This Project will enable the further development and commercialization of the AI-Nano-DIHM technology, addressing critical environmental challenges.