Grants and Contributions

An ML developer working on the Firm’s multimodal video search will analyze and model large text, audio, and video datasets to extract meaningful patterns, improve data quality, and power accurate content understanding. They will develop and integrate machine learning models into core pipelines, generate actionable insights, and support product and engineering teams with clear analytics and performance metrics.

This project expands the company’s business and analytical capacity by supporting the planning and execution of client campaigns and activations. It includes preparing performance reports and dashboards, providing data-driven insights, and ensuring consistent client communication and support.

Marketing strategy: The project aims to increase sales of a company that has designed an AI-powered media processing platform for the video game industry.

Recruit a recent graduate into an HR/Support role with the goal of enhancing team management, hiring processes, and internal operations. The initiative aims to bring on and develop an HR professional who can innovate in talent acquisition, employee engagement, and organizational efficiency. This project will help the company better manage its workforce, fostering long-term growth and aligning HR practices with evolving business needs.

The purpose of this CanExport SMEs agreement is to support small- and medium-sized enterprises (SMEs) for activities related to export market development that are part of an export business case for a specific target market, particularly where activities are targeting departmental priority markets and sectors.

The GAMES project will leverage Large Pre-Trained Language Models to build complex media search instructions. The interaction between users and the application frontend will be simplified when natural language is employed instead of the more traditional widgets to build media search and formatting pipelines. In addition, the generative approach will empower users by nudging them toward interesting, novel and unusual moments that might otherwise be missed.

The Firm will work with IRAP to develop its “Callout Detection” functionality, and more broadly, begin working with ASR, NLP, and NLU technologies. Callout Detection will allow users to identify keywords or phrases in supplied media, to be used as, and in conjunction with, moment detections in its video processing pipeline.