Relays are production services operating on the XE network – real infrastructure serving real users. From cloud platforms to weather data, these are the applications that define the machine economy today.
A full cloud platform providing CDN, Compute, DNS, and Object Storage – faster, greener, and more secure than legacy providers. Edge enables true ownership of the cloud, with infrastructure distributed across the XE network rather than concentrated in hyperscale data centres.
A developer-first storage platform providing super-massive object storage for a fraction of the cost of traditional providers. Command-line only – designed for engineers who want raw, fast, cheap storage without the overhead of web dashboards and marketing tiers. CLI tooling for direct integration into CI/CD pipelines and automated workflows.
A crowdsourced weather intelligence platform that aggregates data from personal weather stations worldwide. Provides open-source weather data and forecasting – hyper-local, real-time, and free from the limitations of traditional meteorological services. Community-contributed station data processed and served through the XE network.
Any service that needs distributed infrastructure can operate as a relay on XE. Here are some of the use cases the network is designed to support.
Distribute LLM and vision model inference across network nodes. Serve AI capabilities as an API with automatic load balancing and geographic routing.
Distributed video processing – upload once, transcode across multiple nodes in parallel, deliver optimised streams to any device.
Decentralised search indexing and query serving. Build a search engine where the index lives across the network, not in a single data centre.
Sovereign email and encrypted messaging infrastructure. No single provider controls the data. E2E encrypted by default.
Distributed backup services with geographic redundancy. Data replicated across network nodes with cryptographic verification.
Distributed telemetry collection and real-time analytics. Process metrics, logs, and events across edge nodes close to the source.
Low-latency multiplayer game infrastructure. Deploy game servers on nodes closest to players for minimal ping and maximum responsiveness.
Collect, process, and serve sensor data from thousands of IoT devices. Edge processing reduces bandwidth and latency for real-time applications.
Decentralised publishing platforms – blogs, news, documentation. Content served from the network with no single point of censorship or failure.
Distributed VPN exit nodes and privacy relay infrastructure. Network-wide traffic routing with no centralised logging.
Decentralised finance backend services – price feeds, order matching, liquidity aggregation across distributed nodes.
Distribute compute-intensive research workloads across the network – genomics, climate modelling, physics simulations, protein folding.
If you're building infrastructure that could benefit from distributed deployment, we'd like to hear from you.