Title:
AI Assist: AI Assist Development - Advanced Plastics Manufacturing
Agreement Number:
1031318
Agreement Value:
$55,821.00
Agreement Date:
Apr 1, 2025 - Nov 30, 2025
Description:
Molded Precision Components (MPC) is initiating an AI Implementation Initiative focused on identifying and piloting artificial intelligence (AI) applications that can drive operational efficiency and production quality in its advanced manufacturing processes
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:
ORO-MEDONTE, Ontario, CA L0L 2L0
Reference Number:
172-2025-2026-Q1-1031318
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
803428473
Recipient Type:
For-profit organization
Recipient's Operating Name:
Molded Precision Components
Recipient's Legal Name:
1674571 Ontario Inc.
Federal Riding Name:
Barrie--Springwater--Oro-Medonte
Federal Riding Number:
35005
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.