Case Study: Streem delivers intelligent, scalable media monitoring and reduces infrastructure costs by 20% with Google Cloud Platform

Streem Delivering intelligent media monitoring services with Google Cloud

Streem, a Sydney-based media monitoring startup founded in 2014, collects and analyzes online, print, television, and radio coverage for businesses — including large corporations and government departments. The company needed a highly customized, reliable, and scalable platform to track fast-moving news across channels, deliver timely insights, and meet demanding availability and reporting requirements without the capital expenses of on-premises infrastructure.

Streem migrated core systems to Google Cloud Platform, using Cloud Speech-to-Text and Cloud Natural Language APIs, Google Kubernetes Engine, Compute Engine, Cloud Storage, and Cloud SQL to automate transcription, analysis, and scaling. The move cut provisioning time from an hour to minutes, enabled one-click autoscaling for tenfold traffic spikes, reduced infrastructure costs by up to 20%, improved availability and transcription accuracy, and lowered manual effort through machine-learning models.

Streem

Antoine Sabourin

Chief Technology Officer