Babel Street Content Classification
Whether monitoring social media, global news, or hard-to-reach data sources, accurate, real-time classification helps ensure that critical intelligence is always at the ready. Leveraging advanced AI and natural language processing, Babel Street automatically categorizes information according to customizable taxonomies, relevance, and risk levels — so you can efficiently organize, filter, and interpret vast amounts of multilingual data from diverse sources.
Adaptive content classification for informed action
Real-Time, Multilingual Data Categorization
Automatically categorize massive volumes of data in real time across 200+ languages for rapid decision-making
Customizable Taxonomies
Define, deploy, and continuously refine custom taxonomies tailored to specific industries, missions, or operational needs
Risk and Relevance Assessment
Classify content by relevance and risk level, ensuring critical intelligence surfaces — no matter the source
Streamlined Processes
Enhance operational efficiency by reducing manual data review and streamlining intelligence and analysis workflows
Proactive Security Posture
Strengthen security posture by rapidly identifying potential threats and sensitive information within vast datasets
Context-Aware Categorization
Discover hidden connections among people, organizations, and events with classification enhanced by entity extraction and relationship mapping.
Product Features
Smart content mapping for classification and discovery
Automated classification
- Advanced topic categorizer automatically classifies content by category, risk, and relevance
- Surface critical intelligence from any source by assessing and categorizing incoming data in real time
