Case Study: a leading research company reduces document search time with teX.ai

Leading Research Company - Customer Case Study

The Leading Research Company, a major information aggregator platform for academia, faced the challenge of helping researchers efficiently find relevant information within a vast repository of over 120 million documents. Their users needed to scour numerous sources for specific, often obscurely worded topics, which was a time-consuming process. To address this, they partnered with teX.ai to implement an intelligent text analytics layer.

teX.ai developed a solution using NLP algorithms, including topic modeling and named entity recognition, to create structured search results and visual topic clusters. This allowed users to quickly find related documents and trending topics. The implementation by teX.ai reduced the user bounce rate by 20% and decreased document search time for users by 30%, making research and knowledge gathering significantly more efficient.