

https://www.loom.com/share/22fcb3b2c68244919053dc94df28dfa7?sid=cbfdc171-fc5b-400d-9b45-525f11500048
Founded by Amy Xiao & Edward Zhou
Aviary is a team of infrastructure engineers, machine learning researchers, and artists from organizations like Snapchat, Notion, Pinterest, CMU, and the University of Toronto.
They believe the best way to utilize AI is to serve our creative potential, and the team is on a mission to make these capabilities accessible to all!
Many companies are sitting on massive amounts of video content without an easy way to search, analyze, organize, or moderate them.
Currently, the only way to search and understand videos is by tagging or labeling videos. Companies spend hundreds of thousands of dollars annually on maintaining these tagging systems and workforces, and still struggle to keep up with their ever-growing video volume.
Tagging is not only expensive and time-consuming, but it’s also limited in what it can reveal about a video and requires you to know the right keywords in advance.
Aviary is AI-based software that understands the content of each video as well as a human does. For the first time, there’s a way to computationally keep up with your video growth.
Aviary empowers organizations with large video collections to:
Aviary is ushering in a new era where labeling will never be needed again.