Title:
AI Assist: ARP AI Data Project for Student Success Prediction
Agreement Number:
1026130
Agreement Value:
$75,000.00
Agreement Date:
Jan 1, 2025 - Sep 30, 2025
Description:
The Project will support the assessment of data quality and data sources for AI project development. The project may also characterize and document aspects of data for AI and Data Governance.
Organization:
National Research Council Canada
Expected Results:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Location:
Toronto, Ontario, CA M5V 3R7
Reference Number:
172-2024-2025-Q4-1026130
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
709959092
Recipient Type:
For-profit organization
Additional Information:
This agreement has been amended 1 time(s). The end date of this agreements has been modified by 62 days.
Amendment Date
Jul 24, 2025
Recipient's Legal Name:
Nimbus Learning Inc.
Federal Riding Name:
Spadina--Fort York
Federal Riding Number:
35101
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC IRAP Artificial Intelligence (AI) Assist Program aims to equip and support SMEs to incorporate AI into their core products and services and/or undertake scientific research, product development, testing, and validation. AI Assist aims to increase the number, the quality, and the competitiveness of Generative AI (Gen AI), Deep Neural Nets (DNN), and Deep Learning (DL) products created and delivered by SMEs.
Coverage:
The AI Assist program is designed to help innovative SMEs navigate the challenges of developing and adapting generative AI (GenAI) and deep learning (DL) solutions and to assist SMEs with awareness, planning and execution in order to develop these technologies safely and ethically.