Title:
AI Assist: ARP AI Qualification and Planning for AI-Driven energy saving for manufacturing
Agreement Number:
1025827
Agreement Value:
$50,000.00
Agreement Date:
Jan 1, 2025 - Mar 26, 2025
Description:
The Project will support the development of an innovation plan to explore an AI-powered energy-saving solution to reduce energy consumption in manufacturing by adding new IoT devices and building new AI models to analyze and optimize energy consumption. The proposed project addresses critical challenges in the manufacturing sector by leveraging AI and IoT technologies to enhance efficiency, reduce costs, and promote sustainability.
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:
Markham, Ontario, CA L3R 9Z6
Reference Number:
172-2024-2025-Q4-1025827
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
810808378
Recipient Type:
For-profit organization
Recipient's Legal Name:
Visfuture Inc.
Federal Riding Name:
Markham--Thornhill
Federal Riding Number:
35055
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.