Title:
Development of the next version of Foqus software, Deep-Foqus 2.0 to enhance its performance and expand the applications.
Agreement Number:
1033428
Agreement Value:
$300,000.00
Agreement Date:
Jun 9, 2025 - Jul 30, 2026
Description:
This project is focused on the development and validation of our next version of the software, aiming to implement the requirements we learned from the market research we did in 2024. The goal is to enhance Foqus’s software performance and expand its market applications to drive business growth. By the end of this project, we aim to have the new version of the software ready for market validation.
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:
Kitchener, Ontario, CA N2G 4Z5
Reference Number:
172-2025-2026-Q2-1033428
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
780359063
Recipient Type:
For-profit organization
Recipient's Operating Name:
Foqus Technologies Inc.
Recipient's Legal Name:
Foqus Technologies Inc.
Federal Riding Name:
Kitchener
Federal Riding Number:
35045
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.