Case Study: Sensika monitors 10x more media with 1/10th the labor using Basis Technology's Rosette

Media Monitoring at Global Scale

Sensika is a global media monitoring and 360 intelligence company that tracks more than 900,000 websites, social media sources, print, radio, and TV in near real time. Its challenge was processing massive, multilingual content accurately and quickly enough to surface relevant signals, especially for customers in Europe and the Middle East and for complex languages like Arabic, Urdu, Persian, and Turkish. Sensika needed reliable entity extraction, foundational text analytics, and broad language support to power its own harvesting, preprocessing, and alerting pipeline.

To solve this, Sensika used Basis Technology’s Rosette text analytics platform as the foundation for multilingual entity extraction and linguistic preprocessing. Basis Technology’s language coverage and normalization capabilities helped Sensika build more accurate search, filtering, and sentiment analysis across languages, including Arabic, enabling the company to uncover insights much faster. The result was a scalable system that lets Sensika monitor 10x more media with 1/10th the human labor, delivering actionable findings in as little as 4–6 hours.

Sensika

Konstantin Christoff

Chief Executive Officer and Co-Founder