http://www.building43.com/videos/2011/08/23/pingar-turning-unstructured-data-into-knowledge/#comments
Large enterprises, and even smaller organizations in a document intensive industry, often have millions of documents stored on their servers. Finding any sort of meaningful relationship among the documents or gleaning any value from them can seem impossible. Pingar has developed technology to make sense of all this information and allow its owners to put unstructured data to good use.
“What we’re trying to do is provide technologies that enable those enterprises to begin to understand what content sits within their data sets,” explains Peter Wren-Hilton, CEO and Founder of Pingar. “Typically the entity extraction and content analysis components that we have developed really are designed to enable enterprises to be able to identify relationships between documents [and] begin to, for instance, generate automatic meta data. If redaction is a key point, then our entity extraction components allow companies to redact documents through algorithms rather than through the black marker pen. So we’ve got a range of components that collectively enable enterprises to make more sense from the millions of documents that they have stored away.”
Generating the meta data is a key difference between Pingar and other enterprise solutions on the market and....... (click here for more info and video interview...)
Pingar web site: http://pingar.com/
Pingar blog: http://www.pingar.com/blog/
Pingar profile on CrunchBase: http://www.crunchbase.com/company/pingar
Pinger on Twitter: http://twitter.com/PingarHQ
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