AI-Powered Metadata Tagging Engine Development & Training

The contract calls for the development and training of artificial intelligence and machine learning models designed to automatically tag media content through computer vision and speech recognition technologies. The goal is to create a robust system capable of accurately identifying and labeling visual and auditory elements within multimedia files, enabling efficient metadata generation for content management and retrieval. The scope includes initial model training using labeled datasets, performance optimization, and ongoing refinement based on real-world usage feedback to improve accuracy and adaptability across diverse media formats. This subcontract is issued under the NAICS code 541715, focusing on research and development in the computer systems design field, and is being managed by the Government of Canada through the Department of Agriculture and Agri-Food. The performance location is designated as Canada, indicating that all work must be conducted within the country. The solicitation was posted on July 15, 2026, with a response deadline of August 17, 2026, giving interested parties approximately one month to submit proposals. The project expects continuous improvement cycles to ensure the tagging engine evolves with changing media trends and operational requirements.