A stealth startup in New York City called Kohort has raised a pretty hefty “seed” round of $3 million from a large group of VCs and angels. IA Ventures led the round. But other investors getting in on the action include RRE Ventures, Countour, FF Venture Capital, and both David Cohen and David Tisch of TechStars (investing personally).
CEO Mark Davis is well-known in New York City venture circles. He is himself a former VC with DFJ Gotham. Davis is also the founder of both the Columbia Venture Community and the New York Venture Community. His co-founder and CTO is Steve Blood.
Davis won’t say what kind of product Kohort will be, other than it will be related to social media. The Kohort site is just a landing page which lets you reserve your Kohort name. You can also follow Kohort on Twitter.
Kohort helps you connect your community with best in class management tools for membership directories, communications, events, ticketing, dues, and the ability to manage any organizational structure through subgroups all with robust privacy settings.
Mark is currently the CEO & Co-Founder of Kohort. Mark is also a Venture Partner at High Peaks Venture Partners. Prior, Mark was a VC at DFJ Gotham Ventures, where I invested in information companies. Some of the companies I have recently been involved with include: ADstruc, Drop.io (sold to Facebook), Medialets, SailThru, Seamless Receipts, STELLAservice, SuburbanMomma, Warby Parker, ViVOtech and Yipit. Mark’s blog has garnered some attention and the folks at Business Insider were nice enough to list him...
IA Venture invests in early-stage companies developing breakthrough tools and technologies for managing and extracting value from Big Data. IA Ventures was founded on the belief that managing and extracting value from massive, occasionally unstructured, often real-time data sets is a competitive advantage. Most data generated today is simply treated as exhaust—lost forever along with the valuable insights held in it. This is purely because all but the most sophisticated organizations are overwhelmed by the massive datasets that are now commonplace....
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