DATA LAKES
Make Sense of Petabytes of Data

Find what you’re looking for, even if you don’t know it exist, in moments.

Agnes leverages state of the art concept clustering, using an algorithm called Agglomerative Nesting, to organically generate a Table of Contents out of your data.

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Our approach exposes relevant concepts and uses Natural Language Processing to label each concept, exposing trends, ideas, and complex sentiments out of your data.

Agnes Search becomes more granular as the data volumes increase and has advanced filtering capabilities enabling search of the entire corpus or specific subsets.

If you have over 50,000 records, traditional search engines can be difficult to find relevancy with.

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Agnes excels at making clear all related concepts and ideas.