Vidrovr

Vidrovr makes video useful. Our multimodal machine learning platform turns disorganized heaps of media and tangles of live feeds into beautifully structured metadata to scale video understanding and automate organizational processes. We enable previously impossible applications, at previously impossible scales.

We are currently a small, seed stage company with self-sustaining - and growing - revenues. Our notable major partners include The AP, the USAF, CNBC, the German Marshall Fund, the DHS, FOX sports, and more. Founded in 2016, Vidrovr initially served large media companies with a multimodal media processing engine to make their content searchable. Today, we have factorized that engine and built a flexible platform supporting fast integration with any video-driven analytics use case.