In the insurance world, reports, analyses, and risk assessments are produced every day. However, for quality analysis, it is necessary to evaluate and examine a vast amount of documents and retrieve information from many different sources.

This task can be extremely burdensome and time-consuming, especially for new operators in the insurtech market who are trying to establish themselves quickly and provide efficient and accurate services to their clients.

One of our clients, a new player in the insurtech market, turned to us to optimize the search processes of their analysts and reduce the time spent retrieving documents and data. The goal was to optimize these search processes to reduce the time needed to retrieve documents and information, while simultaneously increasing the precision and quality of the analyses.

To make search processes more efficient and minimize downtime, we developed an intelligent document organization and analysis solution: a document classification system integrated with semantic search functions.

These capabilities, based on Natural Language Processing algorithms, allow processing, tokenizing, and organizing thousands of documents from different sources. This simplifies the retrieval of information and reduces analysis time.

In practice, the semantic search function allows analysts to perform advanced searches based on the meaning of words and phrases, rather than just specific keywords. This greatly improves the accuracy of searches, allowing analysts to quickly find the most relevant documents and information. Additionally, the automatic classification system organizes documents into logical and easily navigable categories, further facilitating the work of analysts.