Title:
AI Assis: ARP AI Pilot for Enhanced Engagement Monitoring in Digital Platforms
Agreement Number:
1028080
Agreement Value:
$75,000.00
Agreement Date:
Feb 18, 2025 - Feb 15, 2026
Description:
This project aims to develop an innovative AI-driven system pilot for monitoring user engagement by integrating multiple data sources.
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 M4K 1G6
Reference Number:
172-2024-2025-Q4-1028080
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
722568219
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 173 days.
Amendment Date
Aug 1, 2025
Recipient's Operating Name:
Wellwave
Recipient's Legal Name:
1000666494 Ontario Inc
Federal Riding Name:
Toronto--Danforth
Federal Riding Number:
35109
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.