Quvia has unveiled its solution for large-scale data synchronization between edge and cloud.

Called Quvia Sync, the solution enables companies in network-constrained environments, such as ships, to move data without disrupting operations or quality of experience (QoE), the company said in a press release.

Massive volumes of operational and sensor data are generated in edge environments such as ships.

The need to move them between edge and cloud keeps growing as AI accelerates because AI models rely on the cloud for training and updates.

“AI inferencing is unlocking real opportunity, but data and AI model mobility remain a core challenge for our customers,” said Benny Retnamony, Quvia’s founder and CEO.

“As space, edge and cloud converge, the constraint is shifting from bandwidth to intelligence. Quvia is the digital fabric that enables that intelligence and makes data and AI model mobility across edge and cloud possible, so companies can deploy and scale new applications, services and experiences at the edge.”

Quvia Sync introduces intelligence that determines what data moves, when and how, based on application needs and operational priorities.

The solution continuously evaluates network conditions and available capacity to determine this, selecting the optimal path across any combination of providers, orbits and network types.

Companies can therefore efficiently synchronize edge data while maintaining consistent QoE.

Quvia said that its solution demonstrated the ability to transfer up to 1 terabyte of data in 24 hours on a maritime vessel while meeting defined data SLAs and without increasing connectivity costs.

Thanks to this, companies can launch services that were previously impractical due to bandwidth constraints.

For cruise lines, this means they can offer digital-first guest experiences, including social-media-ready content libraries.

Quvia Sync is currently available to select customers, with broader availability planned for later this year, the company added.