We all appreciate the 'google search experience' on the Internet but even Google could not deliver on their promise to do the same for enterprise data. Accessing efficiently unstructured text data is not a solved issue. Everything may be safely stored in a company database, getting out what your are looking for is often problematic.
Alexandria.Works takes the challenge to do much better by creating a novel search system based on recent research in NLP. The system discovers all semantic relations in the documents during indexing time so that you can interactively and intuitively explore your data in query time. The system is self-learning.
The big advantages? A vastly better search experience for a fraction of the cost. There is no need for tagging reports, creating ontologies, building training models, or any other human intervention. Moreover, the system is language independent.