Vidrovr company logo
Video-driven automated workflows at scale11-50 Employees
  • B2B
  • Early Stage
    Startup in initial stages
Website
Location
Company size
11-50 people
Total raised
$1.3M
Company type
Information Technology
Markets
Digital MediaSearchMachine LearningComputer Vision
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Vidrovr careers

Video-driven automated workflows at scale
Vidrovr's sophisticated machine learning engine transforms the way organizations drive value from media. We’re a diverse crew of hackers, scientists, engineers, and business leaders committed to cultivating multimodal AI technologies and distilling vast volumes of video for previously untenable business applications. Our solution supports a wild variety of activities from Fortune 100 companies to government agencies and anywhere in between.

CEO and CTO Joseph Ellis and Daniel Morozoff founded Vidrovr while PhD Students in the Digital Video and Multimedia Lab at Columbia University. Prof. Shih-Fu Chang, of Columbia Engineering, continues to advise the company. The team has published and patented foundational research in machine learning, computer vision, and multimodal information processing. We are backed by top-tier VCs, including Samsung Next, 415, R/GA, Techstars, and leading angels on both the east and west
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Dan Morozoff
Avatar for Dan Morozoff
Founder VidRovr • MS/PhD Columbia University, NSF Fellow. Worked at Janelia HHMI, NASA
Joe Ellis
Avatar for Joe Ellis
Title: Co-Founder/CEO Vidrovr (Techstars '17) Education: B.S./B.A. University of San Diego, M.S./PhD Columbia University. Worked: Google, IBM, MITRE, Qualcomm
Total raised

$1.3M

Funded over

1 round

Latest round

Seed (Nov 2017)

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