Title:
AI Assist: ARP AI Pilot Project for managing metabolic conditions
Agreement Number:
1030128
Agreement Value:
$75,000.00
Agreement Date:
May 1, 2025 - Aug 31, 2025
Description:
The Project will support pilot testing, determining the target architecture and quantitative technical objectives for implementation of an AI solution in weight management.
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:
Vancouver, British Columbia, CA V6C 3N2
Reference Number:
172-2025-2026-Q1-1030128
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
767826027
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 31 days.
Amendment Date
Jul 16, 2025
Recipient's Legal Name:
Nymble Health Inc.
Federal Riding Name:
Vancouver Centre
Federal Riding Number:
59034
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.