DOC Search is built on advanced AI technology and calibrated with over 15-years of large proprietary data training sets curated from over 80-million data elements from over a hundred thousand digital study groups. Our database currently contains more than 33 million items and 1.1 million concepts (2.6 million terms, derived from continuous indexing of PubMed,, DailyMed, EPAR, WHO-ICTRP, and individually selected global health-related RSS feeds.

DOC Search is used to generate comprehensive insights in real-time from published medical literature, enabling users to quickly mine scientific literature and evidence for scoping medical questions, discovering related concepts in the literature and staying on top of landscape analysis, including KOL profiling.