AYLIEN
9 Case Studies
Case Study: Streem achieves real-time, accurate Online, TV & Radio media monitoring and 30% cost savings with AYLIEN Text Analysis API
A AYLIEN Case Study
How Streem use NLP to power an intelligent news app that understands news content at scale
Streem, an Australian real-time news intelligence platform, faced poor accuracy and low ROI from its incumbent media‑monitoring provider and needed a fast, API‑based solution to analyze large streams of online, TV and radio content in near real time. Evaluating vendors on performance, cost and setup effort, Streem selected the AYLIEN Text Analysis API to deliver targeted alerts, mention tracking and audience analytics to desktop and mobile users.
Using AYLIEN’s Entity and Concept Extraction and Classification endpoints, Streem built an automated content‑analysis workflow that extracts key entities, concepts and values and categorizes content into predefined buckets; integration was completed in hours. The AYLIEN‑powered solution now processes roughly 750,000 articles per month (tens of thousands daily), improved mention accuracy, cut costs by up to 30%, and enabled scalable, faster delivery of targeted news alerts.
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Streem
Elgar Welch
Streem