Iris.ai uses Natural Language Processing technologies to review massive collections of research papers or patents to find the right documents, extract all their critical data, or identify the most precise pieces of knowledge. They use a combination of keyword extraction, word embeddings, neural topic modeling, word importance based similarity of document metrics, and hierarchical topic modeling. They will reduce 90% time, increase interdisciplinary inspiration, and organize your internal R&D documents.