Title:
ARP - AI Assist - AI pilot project for ultrasound measurement analysis.
Agreement Number:
1026345
Agreement Value:
$60,000.00
Agreement Date:
Jan 13, 2025 - Mar 6, 2026
Description:
The project will enable AI strategies to be tested, the ideal architecture to be established and quantitative technical objectives to be achieved in preparation for the implementation of an AI solution.
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:
Quebec, Quebec, CA G1P 0B3
Reference Number:
172-2024-2025-Q4-1026345
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
817995426
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 147 days.
Amendment Date
Sep 15, 2025
Recipient's Operating Name:
Nucleom
Recipient's Legal Name:
Nucléom inc.
Federal Riding Name:
Québec
Federal Riding Number:
24059
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.