Signiant is the market leader in intelligent file movement software for media and entertainment industries. We are members of multiple media and entertainment associations, hold several technology patents focused on file transport, and have been instrumental in recent digital media initiatives. Signiant has been dedicated to revolutionizing file transport and optimized network infrastructure for a long time, but we make sure that we stay cutting edge with file transfer solutions.
In April of 2012, Signiant introduced Media Shuttle, the industry’s first secure, subscription-based enterprise file sharing solution. Media Shuttle manages all file movement logistics with our cloud software. You can store the files in whatever location that you choose — either on-premise or in the cloud, and you’ll never be locked into a single online storage provider. Media Shuttle offers the easiest application interface, the fastest transfer speeds, and the most reliable technology. There are also no file size limits with Media Shuttle, so unlike other programs with a file size cap, you can send extremely large files.
We like to keep track of what people are doing with Media Shuttle. For example, in Venezuela, Cisneros Media implemented Media Shuttle and saved time and labor moving hundreds of GB for multiple television series. Venture 3D, a production company based in LA, used Media Shuttle to move large files for the Metallica movie. Read more about Media Shuttle and the way it’s helping businesses grow and collaborate around the world in the following articles, or try it out for yourself.
We love talking to customers who are transforming the way they do business and thinking of different ways Media Shuttle can help them do even more. We thought it would be interesting to run through our top 5 favorite things about Media Shuttle.
In the third part of our Signiant Executives Explain video series, you’ll see how SaaS-based software, cloud-native technology, and deep customer relationships combine to form the crystal ball Signiant uses to forecast technology improvements.