Babel Street Analytics offers AI-powered solutions for analyzing multilingual content, uncovering insights about people, organizations, events, and entities, along with the sentiments surrounding them. The software excels at identity matching, providing highly accurate results even with significant name variations, reducing false positives and negatives. This is achieved through a combination of machine learning and linguistic algorithms, processing data in 40+ languages and scripts. It addresses the challenges of understanding identities and revealing connections within data by answering fundamental questions of who, what, when, and where. The platform facilitates faster, more precise search results than keyword-based approaches by leveraging word meanings and extracting key entities. Deployment is flexible, offering on-premises, cloud, and API/SDK integration options. Babel Street Analytics is particularly useful for organizations needing to analyze large volumes of multilingual data for risk mitigation and informed decision-making. Its ability to accurately match identities against various lists (sanctions, watchlists, etc.) is crucial for compliance and security purposes. The software's speed and accuracy make it suitable for real-time analysis, even with massive datasets. The adaptable AI allows for customization and optimization of accuracy through simple configurations or a more advanced training framework.

Features

AI-Powered Identity Matching

• Increases accuracy and reduces risks associated with matching names against various data sets. Employs a hybrid of machine learning and linguistic algorithms to handle name variations.
  • Reduces false positives and negatives.
  • Improves efficiency in commercial and government operations.

Multilingual Text Analytics

• Analyzes text in 40+ languages and scripts, extracting meaningful insights about people, organizations, events, and entities.
  • Provides deeper understanding of content and identities.
  • Addresses complex language challenges.
  • Offers real-time results, even with massive datasets.

Flexible Deployment

• Allows seamless integration with existing systems through APIs and SDKs, with options for on-premises, cloud, or hybrid deployments.

Adaptable AI

• Offers multiple paths to increased accuracy, from simple configurations to a training framework for data-specific optimization.