Enterprise search presents a formidable challenge due to various factors such as the sheer volume of data, the presence of data silos, and the diverse nature of structured and unstructured data. Security concerns further complicate the task. Consequently, many large enterprises struggle with inefficient search processes, leading to wasted time in locating the required documents. 

To address these challenges, we employ a dual approach of indexing and AI, specifically leveraging vector similarity. This technique enhances enterprise search by converting textual data into numerical vectors and then comparing them to identify similarities. 

Over the past five years, we have honed our expertise in enterprise search, combining traditional indexing methods with AI-driven approaches. Our solutions have been successfully deployed in legal tech applications for tasks such as retrieving specific passages and prompt engineering.

 With our deep understanding and experience in AI-driven enterprise search, we are well-positioned to serve as your trusted partner in solving your company’s enterprise search challenges.