Grants and Contributions:
Title:
Content Predictability Tool
Agreement Number:
1041104
Agreement Value:
$75,000.00
Agreement Date:
Apr 1, 2026 - Mar 3, 2027
Description:
This project involves developing a prototype content predictability tool that applies normalized streaming performance data to support forward-looking planning and investment decisions for independent content producers. The system will aggregate historical data across multiple platforms, generate forecast ranges using predictive modelling, and enable scenario testing based on selected content variables. The objective is to validate a core prediction engine that allows producers and rights holders to evaluate development concepts, acquisition opportunities, and programming strategies before committing capital.
Organization:
National Research Council Canada
Expected Results:
The expected results and outcomes of NRC Industrial Research Assistance Program is focused on growing small and medium-sized enterprises (SMEs) through innovation and wealth creation for Canada.
Location:
Toronto, Ontario, CA M4V 2G7
Reference Number:
172-2025-2026-Q4-1041104
Agreement Type:
Contribution
Report Type:
Grants and Contributions
Recipient Business Number:
807654702
Recipient Type:
For-profit organization
Recipient's Operating Name:
Aux Mode
Recipient's Legal Name:
Aux Mode Inc.
Federal Riding Name:
Toronto--St. Paul's
Federal Riding Number:
35090
Program:
Industrial Research Assistance Program
Program Purpose:
The purpose of Industrial Research Assistance Program Contributions to Firms is to provide support that assists small and medium-sized enterprises (SMEs) to advance their innovation knowledge and ability to innovate, grow through innovation and stimulate wealth creation for Canada.
Coverage:
Industrial Research Assistance Program projects stimulate wealth creation for Canada through technological innovation and strengthen Canadian innovation ecosystem by creating new industrial capacity.
NAICS Code:
54189