Title:
AI Assist: ARP AI Pilot Project for Grit AI Tech Ltd
Agreement Number:
1024819
Agreement Value:
$75,000.00
Agreement Date:
Nov 18, 2024 - Aug 31, 2025
Description:
The Project will support pilot testing of AI strategies, determine target architecture and quantitative technical objectives for 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:
Victoria, British Columbia, CA V8W 1P8
Reference Number:
172-2024-2025-Q3-1024819
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
711293910
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 10, 2025
Recipient's Operating Name:
LetHub
Recipient's Legal Name:
Grit AI Tech Inc.
Federal Riding Name:
Victoria
Federal Riding Number:
59041
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.