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Sean Gourley is a mathematician who has spent the last seven years using math to understand war and insurgency. He is now applying that understanding at Quid Inc. to develop ways to map technology companies – in search of the “technology genome.”
There’s a variety of innovative startups happening like 23andme.com that exhibit multiple attributes, wherein classifying and comparing them is difficult. To begin better understanding organizations, they begin with a “Related Document Group” which includes attributes regarding news announcements, research papers, social media, industry publication mentions, web pages, legal findings, job listings, and patents. With RDGs of various companies, they then extract “genes” of what makes the individual orgs unique, since not all entity attributes are important.
So Quid is growing fast, gathering a lot of data on more than 21k entities, from which they’ve mapped out 28k technology genes. Analysis can get really interesting when comparing massive numbers of organizations against various genes to see how similar/dissimilar they are, even dynamically building network maps, potentially answering “What does technology innovation look like today?”
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