Grants and Contributions

The proposed project advances Wyvern’s proprietary deployable optics technology wherein optical components of an Earth observation (EO) payload are stowed compactly on launch and unfurled in orbit. The smaller, lighter resultant payload minimizes cost of launch. This enables cost-efficient collection of high-quality hyperspectral imagery – imagery with a large number of bands – of the Earth. Project objectives include design, test, and characterization of lightweight composite material mechanisms for deployment of optical surfaces and accompanying baffling. This project will improve the space-readiness of these components aimed for use in a future generation of Wyvern satellites.

Mission Control proposes a new AI-integrated image processing system that will help spacecraft perform tasks autonomously and safely in these complex environments. The advancement of computer vision and autonomy algorithms for use with wide-angle field of view cameras will advance Canada’s leadership in space robotics, autonomous spacecraft, and safety in robotics operations, opening new capabilities for spacecraft to support our livelihood and economy on and off Earth.

Reaction Dynamics (RDX) is developing a hybrid rocket engine that will power a low cost, eco-friendly, orbital launch vehicle. A key part of this endeavour is the development of a carbon neutral fuel for the rocket engine. The following project has for main goal the selection of a fuel mixture that will maximize performance, while being made of bioderived polymers. Of key interest are determining the thermal, mechanical, and transport properties (specific heat, heat of combustion, thermal conductivity, strength, etc), that are required for best performance in RDX’s engines. Then, working with a bioderived polymer supplier, RDX will manufacture a fuel with net-zero emissions and test it in a demonstrator rocket engine.

The firm is advancing ballistic protection technology, an innovative solution designed to enhance safety and comfort in ballistic body armour. The project encompasses engineering a proof of concept and developing scalable R&D processes for CAD, 3D printing, and curing, with a focus on optimizing material performance and integrating advanced features to meet the needs of military and first responder applications.

Develop knowledge/skills in the Healthcare Industry
Learn the details of Data/Data Delivery
Develop the knowledge/skills required to attend trade shows, client meetings, and other
opportunities to grow the firm
Enhance visibility of the firm through marketing initiatives via email campaigns and calls
The KPIs needed to run campaigns
The set up and requirements such as Java Script Ad tags
Learn how to create target lists for best prospecting
Understand qualifying customers to ensure success
Drive customer acquisitions and provide solutions to pharmaceutical and hospital networks for
reaching Healthcare Professionals
Work on Request for Proposals from clients and provide responses

Impossible Metals Canada Inc. is undertaking a three-month project to conduct product discovery based on a preliminary business case for extending the use of existing intellectual property beyond its initial design intent. The technology initially developed for deep sea mining has been identified to have potential applicability for the offshore oil and gas decommissioning market enabling a lower-cost and lower-risk solution to the existing use of divers and ROVs in the final stage of decommissioning.

This project aims to improve the efficiency of the firm’s electrochemical lithium (Li) refining process for fabrication of Li-ion battery grade precursors through development and design of next generation electrochemical cell.

The proposed Grant & Contribution project aims to perform essential
computational analyses in support of the PeaCE (Pea Climate Efficient)
project approved by Genome Canada. This entails evaluating the genetic
variation present within the Climate-Smart Pea Germplasm Resource
(CSPGR), a collection comprising 2000 lines.
The project also seeks to develop an advanced genomic prediction
framework for peas, with the potential to expedite the breeding cycle and
facilitate the integration of greater genetic diversity into breeding programs.
To achieve this, the project will employ a combination of cutting-edge
statistical models and artificial intelligence/machine learning (AI/ML)
algorithms to analyze genomic data and predict crucial traits in peas,
including disease resistance, stress tolerance, yield potential, and other
significant agronomic characteristics. By leveraging these computational
tools, the project aims to enhance the efficiency and effectiveness of pea
breeding programs.

Establishing youth-led good governance and community development programs through project development and management workshops, advocacy training and the establishment of a youth-led integrity and accountability good governance committee.

Strengthening institutional capacity and awareness for promoting human rights centered drug policy in Pakistan.