Vidrovr

Using computer vision and machine learning, Vidrovr makes videos searchable like the web

  • Stage Prototype Ready
  • Industry Internet / Web Services
  • Location New York, NY, US
  • Currency USD
  • Founded April 2016
  • Employees 2
  • Incorporation Type C-corp
  • Website vidrovr.com

Company Summary

Vidrovr uses computer vision and machine learning while leveraging constraints in specific vertical domains to build automatic systems for indexing videos, allowing them to be tagged and made searchable. We are able to discover who is speaking on screen, the topics that are being discussed, detect scene changes and link to other forms of media online. Vidrovr is a spin off out of the Digital Video and Multimedia Lab at Columbia University.

Team

  • Dan Morozoff
    President

    Dan is a PhD candidate at Columbia University working on machine learning applied to neuroscience. He has published research in computational physics, computer multimedia. He has worked at NASA, and HHMI Janelia.

  • Joseph Ellis
    CEO

    Joe is a PhD candidate at Columbia University working on video searching and indexing. He has published research in the areas of multimodal information processing, computer vision and machine learning. He has worked at Google, IBM Research, and MITRE.

Advisors

Previous Investors

Starting a startup?

Join the world's largest startup network for guidance, tools, and fundraising opportunities.

Get Started for Free