Highlights:
- At the heart of Grid is its proprietary decision engine—a real-time system that analyzes performance, demand and application metrics to make intelligent routing decisions across multiple WAN links, from satellite to terrestrial.
- Grid is designed for flexibility—capable of supporting anywhere from a single link to 32 at each site—while delivering the same core value: intelligence at the edge and control over how connectivity is delivered.
- Grid lays the foundation for what’s next—unlocking use cases such as on-demand bandwidth, seamless edge-to-cloud data movement and new digital experiences across industries.
The connectivity industry has shifted—fast. LEO expansion, multi-orbit deployments and growing demand for bandwidth at the edge have exposed the limits of static networks and legacy solutions like SD-WAN. These systems can’t keep up with moving platforms, data-heavy applications or unpredictable conditions.
Whether you’re routing across satellite, cellular or fiber—on land, at sea or in the air—you need orchestration that reacts in milliseconds, not minutes.
That’s where Quvia Grid comes in.
Grid is an AI-powered network management solution that ensures reliable, high-quality connectivity and quality of experience (QoE) without manual policies or interventions. It blends any combination of connectivity—across one or more service providers, satellite orbits and terrestrial networks—into a vendor-neutral environment. It then uses AI and machine learning to orchestrate traffic with optimal efficiency, performance, agility and availability.
Grid is used by three of the world’s largest cruise companies and more than a dozen other cruise brands, and is rapidly expanding across aviation, energy and shipping to ensure QoE in every environment. Today, it manages more than 14 petabytes of traffic each month.
Let’s dive deeper into how Grid works.
Grid's Decision Engine
At the heart of Grid is its proprietary decision engine—a real-time system that analyzes performance, demand and application metrics to make intelligent routing decisions across multiple WAN links, from satellite to terrestrial. Unlike traditional SD-WAN systems that rely on static routing, Grid adapts continuously to multiple criteria and changing conditions to maintain or improve QoE.
Once customers define their performance priorities, which can be unique to each site, no further manual tuning or interventions are needed.
Grid’s decision engine enables:
- Real-time optimization: Surveys network conditions every 500ms and makes routing decisions every 50ms
- Cost-aware performance: Favors lower-cost links while preserving application quality
- Contextual routing: Distinguishes between traffic types (e.g., streaming vs. browsing), users, Wi-Fi plans and more to make optimal routing decisions
- Application-level control: Dynamically allocates and prioritizes bandwidth for mission-critical apps to ensure they stay responsive under constrained conditions
Without this underlying technology, these decisions would have to be made manually by network administrators and would need to be reconfigured each time conditions changed.
Grid automates all of it—intelligently, in real time.
Grid at Scale
Grid is designed for flexibility—capable of supporting anywhere from a single link to 32 at each site—while delivering the same core value: intelligence at the edge and control over how connectivity is delivered.
It supports a range of hardware and network configurations, enabling tailored deployments across diverse environments. Some sites may have a single WAN link, others several. Some may support multiple local networks for crew, customer profiles, passengers, operations, IoT or safety systems—each with different traffic types and performance requirements. Grid is built to manage this complexity without compromising orchestration or efficiency.
Before deployment, Quvia works closely with customers to define a set of strategic inputs—such as, preferences for bandwidth allocation, cost thresholds and any traffic types or applications that should take priority. That might include, for example, a safety-critical application that relies on real-time video streaming from the bridge. Once defined, these inputs can be replicated across other sites with the same setup, making it easy to scale without reconfiguring each location individually.
From there, Grid’s decision engine kicks in, operating autonomously and adapting over time.
Unlike SD-WAN systems that rely on static policy trees, manual tuning and basic threshold-based logic, Grid makes real-time decisions using live awareness of application demand, link quality, billing type and service-level agreements (SLAs). It continuously learns and adjusts to deliver the best possible QoE—within the boundaries the customer defines. If those boundaries are too restrictive, performance and QoE scores will reflect that, and Quvia will work closely with the customer to ensure the right balance between business priorities and QoE.
Unlock What's Next with Grid
Once Grid handles orchestration and bandwidth, the network becomes a foundation—not a friction point.
Grid isn’t just managing traffic—it’s creating the conditions for more advanced services to run at the edge. By orchestrating flows across providers, technologies and geographies, Grid enables data to move efficiently, applications to perform predictably and capacity to be dynamically allocated where it’s needed most.
Because Grid operates at the orchestration layer, it can support on-demand bandwidth via partner integrations, power real-time data sync between the edge and cloud and extend its value through network APIs that developers can build on.
Grid opens the door to a wide range of use cases, for example:
- Deliver on-demand bandwidth: Power real-time access to emergency response systems or live situational awareness tools
- Move edge data to the cloud: Transfer massive datasets like seismic surveys—no helicopters required—and sync rich media like cruise ship photos directly from ship to shore during times when extra bandwidth is available—ensuring zero impact on the guest experience
- Modernize onboard experiences: Enable dynamic content libraries, personalized media and localized streaming based on guest preferences and location
- Deploy AI at the edge: Run agent-based workflows that rely on real-time connectivity and coordination
Grid isn’t just about keeping the network running. It’s the foundation that makes these use cases possible—removing limitations so you can move faster, build smarter and push what’s possible at the edge. And because Grid continuously collects and analyzes performance data across complex, multi-orbit, multi-pop environments, it also provides the additional visibility teams need to monitor, troubleshoot and make smarter business and technical decisions over time.
With Grid, the network is no longer the limit—it’s the launchpad.
Interested in learning more about Grid? Watch our Grid explainer video below and contact us for a demo: https://www.quvia.ai/contact-us.
