Timelapse of road at night
Signiant introduces new AI tech that can adapt to network conditions in real-time. Image courtesy Signiant.

Signiant has unveiled a new AI transport architecture that can learn to adapt to network conditions in real-time to optimize your file sending.

The company has just introduced a patent-pending intelligent transport architecture that will replace today’s standard TCP. In its place, it puts in a proprietary UDP-based acceleration protocol. Plus, the architecture can also automatically send multiple TCP connections at the same time. Essentially, it determines the fastest way to get data through the network. When doing so, it can make decisions on the spot on its own.

Additionally, the transport is capable of multiple Gbps transfer speeds. That’s for both site-to-site transfers in addition to the transfers to and from the cloud.

When is the architecture being implemented?

Currently, the new architecture is already being used by two of Signiant’s could-native SaaS products: Flight and Jet. The architecture seem like it will surely accelerate file transfers to and from the cloud in Flight.

“As networks evolve and increase in bandwidth, many incorrectly assume that acceleration technology is no longer required,” said Signiant CTO, Ian Hamilton. “Network bandwidth and network throughput are not the same and Signiant is able to provide even more value on higher bandwidth connections. Our new intelligent architecture supports all types of transfers including site-to-site, site-to-cloud and cloud-to-cloud transfers of both files and streams with no constraints on file size or type.”

Takes full advantage of bandwidth

The machine learning algorithm reportedly examines past history. From there, it “optimally” configures transport-level transfer parameters for both file-based and live media transfers. Results also improve over time as the system learns, taking full advantage of all the bandwidth that’s available.

Also, Signiant isolates different sources of congestion. How? It takes a look at latency and packet loss and by examining the rate of changes. This allows the system to see the difference between edge and core network congestion and react appropriately.

“Acceleration remains foundational to Signiant even as we move beyond fast file transfer, adding new intelligence and enterprise-grade capabilities to our software products. Networks continue to evolve and we are committed to ongoing innovation to make sure our technology remains ahead of the market under all conditions,” Hamilton continued.

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