Podcast: Ironstone VC Fund Using Data Science to Pick Disruptive Startups

Can Big Data analytics be used to predict which Startup companies will succeed? In this video, Thomas Thurston from Growth Science discusses the new Ironstone Venture Capital Fund, which is using Business Model Simulation to choose disruptive Startups.

The human mind is good at some things but bad at others. So we use data science and technology to help our brains with the things they weren’t designed for. This marriage between technology and the brain has allowed us to predict business behavior in ways that weren’t possible even a decade ago. It’s the future of venture capital,” said Thurston. This fund is unique. First, instead of mostly using intuition, like most VCs do, we’re using powerful, proven data science to identify disruptive companies. That’s revolutionary. Second, we’re interested in seed- and early-stage companies, which is much needed as our economy rebuilds itself. Finally, unlike a lot of VCs focused on exits and quickly ‘flipping’ startups, we have a long-term view and really want to partner with people growing strong, disruptive, meaningful businesses to make the world a better place.”

Read the Full Story * Download the MP3Subscribe on iTunes * If Dropbox is blocked, download audio from Google Drive.

4 thoughts on “Podcast: Ironstone VC Fund Using Data Science to Pick Disruptive Startups

  1. Great post. Sounds like behavioralism for venture capital. Would love to know more about it.

  2. Pingback: Entering the Era of the Moneyball VC | Inside-Startups.com

  3. Pingback: Entering the Era of the Moneyball VC | Inside-BigData.com

  4. Pingback: Portland Entreprenuers Pitch Ironstone | Inside-Startups.com

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