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Brazil doesn’t just test connectivity at scale. It tests it across extremes.

From major urban centres and logistics corridors to agricultural operations, renewable energy sites, remote infrastructure, and environmentally sensitive regions, connected devices in Brazil often need to operate in very different conditions – including distance and complexity.

For IoT deployments, that matters.

A sensor in the field, a tracker on the road, a device in a production facility, or an asset at a remote energy site all depend on the same thing: data that keeps moving when the environment changes.

Because when connectivity drops, operations lose more than signal. They lose visibility.

👉 A delayed alert can become a slower response.
👉 A missed location update can become an operational risk.
👉 An offline device can become another support ticket.
👉 A coverage gap can become a blind spot.

That’s why resilient IoT connectivity is so important for businesses operating across Brazil’s diverse environments.

Multi-network connectivity helps devices stay connected across changing coverage conditions, giving teams a more reliable foundation for monitoring assets, responding to issues, and scaling connected operations with confidence.

Brazil is part of iONLINE’s global network across 220 countries and territories. See our global coverage map here: https://hubs.ly/Q04n_FBg0

It's one of tech’s fastest-growing markets – but it’s barely been deployed.

Less than 1% of the world's 21 billion+ IoT connections run edge AI today. Surprising, because the upside is so clear: when intelligence runs on-device, you send only what matters to the cloud – not a constant stream of raw data.

Consider this simple example: a factory with 100 cameras can generate around 800GB per hour if everything is sent upstream. Process at the edge and you might send only 10 to 20GB – alerts, metadata, and the clips that count.

That shift can cut bandwidth needs by up to 70% and speed up autonomous reaction times by 60%.

So why is adoption still under 1%?

Because while the benefits are obvious, deploying and managing fleets of “thinking” devices in the real world is difficult.

To be clear, Edge AI won’t replace the cloud. It merely splits the work: devices decide in the moment; the cloud learns across the fleet.

The edge is where the intelligence is heading, and reliable, secure connectivity is what gets it there.

IoT connectivity can look fine on paper… until traffic starts taking paths you didn’t plan for. If you want secure, predictable fleet connectivity, you need to control where your data goes.

That’s where APNs come in. If an APN is how you connect, a private APN is how you connect with control and security.

An APN (Access Point Name) is the set of mobile network settings that tells a SIM or device how to connect to data services and, more importantly, where the device’s data traffic should go after it connects. In many standard mobile setups, that route is effectively public by default.

A private APN changes that. It’s an APN configuration designed to keep device traffic segmented, governed, and predictable. Instead of devices defaulting to a generic public breakout, a private APN is typically used to enable private routing, traffic segmentation, consistent security controls, and traffic termination.

And that distinction matters at scale. Every device that breaks out to the public internet is another door you didn’t mean to open. A private APN helps you close it – at fleet scale.

With a private APN, you get controlled connectivity:
🔸 Reduced attack surface (less unnecessary internet exposure)
🔸 More consistent security posture across fleets and regions
🔸 Better segmentation (by customer group, region, device type, or use case)
🔸 Predictable routing and troubleshooting (clearer traffic paths, faster resolution)
🔸 Connectivity that scales without becoming chaotic

The result: your IoT fleet connects in a way that’s secure, governed, and operationally manageable – even as it grows.

Learn more at https://hubs.ly/Q04kFBNf0