Real-time user-generated content moderations is difficult and expensive.  In collaboration with Microsoft, our language technology and content analytics experts have developed a scalable Offensive Content Detection API that objectively annotates large volumes of offensive content in multiple languages. The detection technology uses natural language parsing and Machine Learning to process content.  It facilitates customisation of tolerance thresholds, allowing even obscure offensive content to be flagged for human review.