Babel Street Analytics provides fast and accurate AI-powered solutions for deriving insights from text, matching names to lists, and resolving entities. As an integral part of the Babel Street ecosystem, Babel Street Analytics processes large volumes of structured and unstructured multilingual text with explainable AI that helps close the Risk-Confidence Gap.
Using a flexible API architecture, Babel Street Analytics is easily integrated with existing systems and search engines and can post-process results from legacy systems. Rapid extraction of key data points from text is instrumental for identity and risk operations that analyze vast amounts of data to make informed decisions.
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