Case Study: Fuse Media saves time in post-production editing with TrackIt’s AWS ML/AI pipeline

Fuse Media - Customer Case Study

Fuse Media, a Latino-owned multiplatform entertainment company, faced a significant challenge in its post-production editing process. The team was dedicating an excessive amount of human resources to the manual task of detecting and filtering out questionable content like swear words and graphic imagery. To work more efficiently, they partnered with TrackIt on AWS's recommendation to find an automated solution using machine learning and AI.

TrackIt implemented a solution leveraging Amazon Rekognition and Amazon Transcribe to automatically detect questionable content in media files. They also built a custom web-based video player for easy content review. This new workflow saves Fuse Media an average of 6-10 human hours per edit and has streamlined collaboration, eliminating inefficient back-and-forth exchanges. The senior vice president of technology confirmed he would absolutely recommend TrackIt for their expertise and professionalism.

Fuse Media

Bejon Parsinia

Senior Vice President