Q-Sensei is a privately owned software company developing search technology and search-based applications for searching through unstructured and structured data. They make searching through diverse types and sources of data faster, easier, and more powerful. ;ref name="Technical.ly/Brooklyn" ; ;/ref ; They developed enterprise search applications and are developing analytic features.
Q-Sensei is based on multi-dimensional search, which combines full text with faceted search and content analysis to present data organized and correlated along multiple facets or "dimensions" (e.g. date, tag, author, source, language, content type, etc.). This lets the end user dive deeper into a search query on multiple fronts. The company is product-focused and develops nearly plug and play applications that companies can deploy mostly on their own. Previous projects included: a “next generation” enterprise search platform; an RSS feed aggregator and reader; and an online service for searching scholarly literature.
Q-Sensei was formed in 2007 through the merger of German-based social knowledge network Lalisio and the US search technology company, QUASM. The company is headquartered in San Francisco, CA. Its European office is in Erfurt, Germany.
Its name is derived from the Japanese word "Sensei", meaning "master" or "mentor".
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