Many organizations still send their data to central systems or the cloud for processing. This costs time, bandwidth, and increases the risk of delays or disruptions. Especially in sectors where speed and precision are crucial, such as logistics, manufacturing, or healthcare, every second can make the difference between profit and loss, between continuity and standstill. Furthermore, data traffic to external locations is not without risk: sensitive information requires maximum control. The closer you process data to its source, the better you maintain control over speed, reliability, and security.
Nalta brings computational power and intelligence to the edge of your network, right where data originates. We combine hardware, such as gateways, with smart software and AI applications that run locally. This way, data is analyzed and applied directly, without relying on cloud processing. The result: lightning-fast decision-making, reduced reliance on external networks, and an architecture that adapts to your processes.
Edge computing is essential when decisions must be made immediately at the source of the data, when network latency poses a risk, or when a stable connection cannot be guaranteed. Think of sectors like logistics, manufacturing, and healthcare.
Edge computing processes data right where it is created, while cloud computing processes data centrally in a data center. Edge is faster and remains operational even if the connection is lost. The cloud is more powerful for storage, centralized analysis, and training AI models. Nalta combines both, ensuring decisions are made locally while insights are gathered centrally.
Nalta builds edge solutions on Dell NativeEdge, complemented by software and AI applications that run locally. The implementation of NativeEdge contributed to the Dell Excellence in Infrastructure Award that Nalta won in 2026.
Yes. For PostNL, Nalta built an edge computing solution at their international sorting center. Tens of thousands of packages are identified, scanned, and routed on-site every day—faster and more accurately than if the data had to be sent to a central system first.