Every day, our experts identify and digitise evolving threats of hate and harm across local markets and languages. This data is captured and audited in a unique framework of attributes and risk signals.
Leverage machine learning and natural language processing to automatically identify, evaluate and score the presence of harmful content.
Our data and analysis supports 28 languages and dialects — not just English.
All data goes through a rigorous classification, review and re-review process.
We unbundle complex harms into attributes that can be scaled by technology.
Our data and analysis can be easily filtered and customised to suit your needs.
Our global network of experts analyses and encodes harmful language in 28 languages and markets.
Their topical, linguistic and cultural expertise is digitised into a risk knowledge base and machine learning models.
Our platform leverages curated data and cutting-edge machine learning to help experts identify harmful content at scale.
Real-time expert feedback continuously improves the precision of our platform.