Jet

The Signiant SDCX SaaS platform now addresses any use case within or between companies, across any hybrid cloud or multi-cloud environment: Jet handles system-to-system file movement, Media Shuttle is for person-initiated transfers, and Signiant Flight moves data to and from the cloud.

Signiant is proud to announce that Jet — cloud-native SaaS solution for the automated transfer of large file between systems around the world — has just received the Digital Media World Gold award in cloud infrastructures and delivery.

Now, with the introduction of the Jet APIs, media companies can now go even further to automate processes and integrate Jet into their existing workflows.

The high-growth trajectory of our SaaS business has continued in 2019, with Media & Entertainment customers deploying ever-larger footprints of our innovative solutions to power their mission-critical workflows.

Over the past few months, the Signiant team has been working on additional time-saving features to help you get up and running with Jet and get even more out of our newest, award-winning SaaS product.

The M&E industry is in an exciting period of transformation, and Signiant is thrilled to be in the midst of it. Nowhere was this energy more apparent than at this year’s IBC, where we had the opportunity to speak with a wide range of organizations, vendors, and thought leaders to better understand where businesses are at, where they’re going, and what they need.

Like all Signiant products, Jet is designed to move large data sets far and fast. But with Jet, Signiant introduced an entirely new patent-pending transport that adds a layer of intelligence to determine how to achieve the highest possible speed in any environment.

At IBC2019, Signiant will introduce new capabilities to its SDCX (Software-Defined Content Exchange) SaaS platform to simplify secure content exchange between companies.

The rise of global cross-company partnerships has created the need for new business strategies based in ecosystem models, and the software that supports them.

In order to take full advantage of available bandwidth, Signiant’s machine learning algorithm examines transfer history and optimally configures application and transport-level transfer parameters for both file-based and live media transfers.