Imagine if we had the ability to efficiently navigate massive stores of high-quality documents? Everything we should read to stay current was now self-detected, self-organized, inter-connected and readily available? All internal personal, organization, or company documents were instantly and precisely mapped to both other internal as well as external documents, independent of language, geography, market, or curation bias? Omnity is a self-assembling, decentralized knowledge curation system, interconnecting private document repositories at all scales (of, by, and for people, companies, organizations, and Governments). Semantic interconnections are made both within internal document sets and with external high-quality, third-party vetted public data from throughout the world. Omnity does not scrape the web;rather we harvest and interconnect massive sets of public and private documents systematically uploaded through APIs and connectors to uncover hidden and unexpected patters of high value. Individual users can also upload single documents or small document sets directly into Omnity using intuitive drag and drop interfaces. Omnity only uses vetted sources to extract otherwise hidden patterns of information:whitepapers, think tank articles, peer-reviewed articles (scientific, medical, legal, engineering, technology, math), university publications, M.S. and Ph.D. theses, several news sources, patents, federal grant deliverables, Wikipedia, open access journals, national archives content, and similar and related content. Omnity does so in most file formats (Adobe PDF, Microsoft Office product formats, txt, html, and so forth) and in more than 100 human languages.
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