Case Study: flowsam achieves faster, more cost-efficient video brand performance insights with Google Cloud Platform

flowsam Helping brands create eye-catching video content with Google Cloud

flowsam, a Copenhagen-based AI video brand performance pre-testing startup, needed a scalable and cost-effective way to help marketers understand how effective their video content would be before launch. The company faced the challenge of delivering fast, accurate eye-tracking and brand-cue insights without the high cost of traditional research, and it built its platform with Google Cloud Platform, including Video AI, Compute Engine, and Cloud Storage.

Google Cloud Platform helped flowsam implement object classification and brand-cue tracking with strong precision, dynamic scaling for CPU/GPU workloads, and cloud storage for large video datasets. The result was faster video analysis, lower operating costs, better sustainability by using only needed resources, and measurable value for customers like CO-RO, which reported quicker, more efficient iterations, higher-quality results at lower cost, and clearer consumer response insights.

flowsam

Jon Voetmann

Co-Founder