Grants and Contributions

Multi-Agent System (MAS) Architecture for an eCommerce AI assistant to automate competitor analysis and market research.

A highly skilled and interdisciplinary Self-Driving Lab Scientist will bridge experimental science with advanced technology. This role is pivotal in developing, optimizing, and scaling our autonomous laboratory platform. The SDL Scientist will collaborate closely with both scientific and engineering teams, ensuring that our platform meets high standards of robustness, efficiency, scalability, and scientific rigor.

Development of a secure, scalable and intelligent marketplace software application that will connect consumers directly with stylists and hair salons with the ability to recommend and transact after care professional products.

The project will focus on scaling our production to enable expansion both domestic and foreign while also adding variety to their formats.

Microplastic pollution in water bodies is currently a major global concern and intensive research activities are being conducted internationally to address this issue. To this end, the NRC has developed an advanced numerical model (CaMPSim-3D) to simulate the fate and transport of microplastics in water bodies using the particle tracking method. The model has been developed in collaboration with the University of Ottawa and has attracted international attention. To maintain and promote its status as one of the top global models, it is important to validate the model for different applications and evaluate its accuracy for further development and improvement. The objective of the Project is to validate the model in Japan’s coastal waters. The Project includes field data collection and hydrodynamic and particle transport simulations.

Provide sales professionals with insights on leads with personalized insights and suggested actions ready to be applied to the next video meeting/phone-call/interaction, for the purposes of reducing sales funnel drop off, decreasing Customer Acquisition Cost, and increasing sales team efficiency.

The approach undertaken to implement the energy-saving measures will support the development of guidelines that will be publicized via different CEA organizations. If applied to Canada's total greenhouse surface area, it is anticipated to save about 740 tonnes of CO2eq annually.

The purpose of this CanExport Innovation agreement is to support Canadian organizations to carry out activities related to pursuing opportunities that would lead to establishing new collaborative Research and Development (R&D) partnerships between the Recipient and foreign organizations in order to support R&D on the Recipient’s technology and advance its commercialization.

Feasibility design and development of a real-time, AI driven, Work Order insight widget to enhance customer decision-making.

This CTO program will support up to 13 companies that are interested in pursuing AI innovations relating to Generative-AI and Agentic AI.