Title:
Pilot for AI agents using large Language Model concepts and Deep Learning using Amazon Bedrock Agents technology stack
Agreement Number:
1024351
Agreement Value:
$75,000.00
Agreement Date:
Nov 1, 2024 - Apr 21, 2025
Description:
The Project will support pilot testing of AI strategies, determine target architecture and quantitative technical objectives for implementation of an AI solution to automate and enhance Schema Markup processes, increasing scalability and operational efficiency.
Organization:
National Research Council Canada
Expected Results:
The NRC 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:
Guelph, Ontario, CA N1G 3X7
Reference Number:
172-2024-2025-Q3-1024351
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
812041119
Recipient Type:
For-profit organization
Recipient's Operating Name:
Schema App
Recipient's Legal Name:
Hunch Manifest Inc.
Federal Riding Name:
Guelph
Federal Riding Number:
35032
Program:
Industrial Research Assistance Program – AI Assist
Program Purpose:
The NRC 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