Title:
AI Assist - scoping project for SaaS logistics management platform
Agreement Number:
1035236
Agreement Value:
$75,000.00
Agreement Date:
Sep 1, 2025 - Mar 31, 2026
Description:
The project will support the launch of a multi-tenant SaaS platform to optimize logistics, automate client communications, and field operations for SMEs in construction, delivery, and utilities. This project focuses on completing initial R&D, infrastructure refinement, and onboarding automation before large-scale deployment, allowing real-world validation to “de-risk” the product and business model.
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:
Winnipeg, Manitoba, CA R3B 1B3
Reference Number:
172-2025-2026-Q3-1035236
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
721538148
Recipient Type:
For-profit organization
Recipient's Operating Name:
NVC360
Recipient's Legal Name:
10161758 MANITOBA LTD
Federal Riding Name:
Winnipeg Centre
Federal Riding Number:
46011
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.