TK: My original ambition was to go into engineering. Having grown up with my dad working on some of the earliest computers I was constantly being exposed leading edge technology. After bouncing around from engineering to business and then accounting I was lucky enough to take a course on comparative programming languages. I fell in love with programming, stayed to get a second degree in computer science, and started my first job with a relational database startup; I thought I'd ended up in paradise. That startup experience early in my career fueled an innate desire towards entrepreneurship and in my mid-twenties I decided to start Delphi Group with my friend Carl Frappaolo.

Anyone who has been transfixed by a gymnast or a figure skater knows that the magic happens when they perform flawlessly and yet make it seem easy. That's how a search should work: Enter a query, and the right results appear in simple, elegant fashion -- even if it took countless hours of preparation to make the magic possible. Yet most enterprise users still stumble as they try to extract data from multiple repositories, each with its own search engine. Enterprises seem awash in a rising tide of structured and unstructured data. And even though users are often forced to tag documents manually across various content management systems in hopes that those documents will be easier to retrieve, searches still yield a surfeit of irrelevant, time-wasting results.