Graymeta and aws team up to bring you a set of archive to cloud solutions designed to save you money

The Challenge

Media archives languish in the dark, stuck on tape or in disorganized storage environments. From universities to broadcast networks, organizations around the world have vast archives of valuable, rich media content locked away on data tape, video tape, or in disorganized storage environments. Without knowing what is in these archives, customers are unable to access content they already own to create new revenue opportunities, avoid recreating content, and optimize the cost of their media supply chain. These organizations don’t have the time or money to hire an army of humans to manually tag every moment of every media file in their archive. Knowledge workers end up spending most of their time looking for things they know they own and missing out on content they don’t know they own. 

The Curio Solution on AWS

Machine learning that automatically tags, indexes, and analyzes archives anywhere. Curio runs in your AWS cloud account or in a hybrid environment on premises, using state of the art machine learning to automatically transcribe, translate, visually tag, or otherwise scan and analyze every second of every media file in your archive. You then use a Google search-like interface to find anything, integrate your MAM to enhance global access, or use Curio-generated timecode markers for your editing system. Analyze your archive with Amazon QuickSight and quickly generate reports on brand sponsorships, celebrity time on screen, languages spoken, common words or phrases used, and so much more so your business analysts can start tying revenue and other KPIs to material use of your archive.