Vidrovr

01 / WHAT IT BUILT

What the company did

Vidrovr is a New York-based company providing machine learning and computer vision video solutions. A Columbia University spinout founded in 2016 by PhD students Joe Ellis (Electrical Engineering) and Dan Morozoff (Biological Sciences), advised by Professor Shih-Fu Chang, it develops multimodal computer vision and machine learning systems that index, tag and understand video — creating actionable insight and awareness through multimedia understanding. Its AI-powered monitoring system provides automated video and image processing and analysis for the public sector, unmanned systems, critical infrastructure monitoring, natural resource security and media analysis.

03 / EVENT HISTORY

Events in the structured record

1. 2016
   Founded

   Vidrovr was founded in 2016 as a Columbia Engineering spinout, with co-founders Joe Ellis and Dan Morozoff building on three years of published and patented research in machine learning, computer vision and multimodal information processing.

2. 2017
   Seed round

   The company raised a $1.25 million seed round in November 2017 to bring smarter video search to publishers, with Verizon participating.

3. 2021
   Further funding

   Vidrovr secured additional grants and venture funding, including a roughly $2.5 million round in 2021, reaching about $5.29 million in total raised across 10 funding rounds.

4. 2026
   Operating

   The company remains private and active with about 26 employees, serving enterprise and government customers with video-intelligence solutions. No published evidence of a shutdown or acquisition was found.