Grants and Contributions

Contribution made under the Participant Funding Program to Wildlands League to help it prepare for and engage in Indigenous consultation activities and public participation opportunities related to the assessment process for the regional assessment in the Ring of Fire area.

Contribution made under the Participant Funding Program to Grand Council Treaty #3 to help it prepare for and engage in Indigenous consultation activities and public participation opportunities related to the assessment process for the regional assessment in the Ring of Fire area.

Contribution made under the Participant Funding Program to World Wildlife Fund Canada to help it prepare for and engage in Indigenous consultation activities and public participation opportunities related to the assessment process for the regional assessment in the Ring of Fire area.

Contribution made under the Participant Funding Program to the Friends of the Attawapiskat River to help it prepare for and engage in Indigenous consultation activities and public participation opportunities related to the assessment process for the regional assessment in the Ring of Fire area.

Purchase 1 accessible van to service the Rainy River District (covering over 15,000 km) towns and Indigenous communities in Northwestern Ontario, which would service: Fort Frances, Emo, Rainy River, Couchiching, Seine River, Lac La Croix, Nigigoonsiminikaaning, Rainy River First Nations, Naicatchewenin, Mitaanjigaming, Mishkosiminiziibiing First Nation, Anishinaabeg of Naongashiing, Ojibways of Onigaming as well as residents living in the unincorporated areas of the district.

This project aims to develop a trustworthy AI software based on a data-driven predictive-3D technology from a single 2D satellite image. It will provide new high-resolution 3D maps and change-detection to aid in assessing land, agriculture, and provide resilience to topography changes.

Generative AI has the potential to automate a variety of space mission operations tasks across satellite, robotic and human spaceflight missions, reducing the reliance on large teams of operators and analysts, lowering cognitive burden across operators and ultimately disrupting the current paradigm of space mission operations. In this project, Mission Control will build upon its leadership in AI for space by developing the Human-in-the-loop AI assistant for Live operations (HAL): a generative AI assistant designed to respond to analysis, search and summarization task requests common across satellite and robotic space missions alike to enhance operations productivity and efficiency, while ensuring accurate and explainable results. This project will advance Canada’s position as a global leader in AI and space, and lead to further investment, growth, and better overall returns to the company, investors and Canadian public in job creation, Canadian space ecosystem development and talent development.

This project aims to develop an advanced traffic safety system using AI, satellite imagery, drones, and smart sensors to detect moose movements and warn drivers in real time. By predicting high-risk areas, the system will send alerts to navigation apps, adjust speed limits, and enhance road safety.

This project aims to integrate existing and novel SEO biodiversity products into a multimodal machine learning (MM-ML) model to assess ecosystem recovery, validated through two boreal forest case studies focusing on woodland caribou and birds.

This firm aims to undertake a technology initiative to deliver next‑generation digital commerce solutions. The project will focus on advancing secure, scalable, and adaptable transaction technologies, supported by a demonstration environment to showcase potential applications.