hubblenetwork

One of the bigger shifts happening across connected systems is that operational visibility is no longer being reserved only for the highest-value assets. As deployment costs fall, industries can start monitoring many more components of the physical world continuously.

A lot of industrial systems still depend on people manually checking whether something happened. Did the shipment arrive? Did the conditions stay stable? Did the system report recently? As connected systems improve, more of those workflows start becoming predictive instead of reactive.

Physical-world systems generate enormous amounts of operational data every day. The challenge isn’t collecting more information. It’s reducing the delay between what’s happening physically and what operations teams actually know digitally.

A stolen vehicle doesn’t disappear. It just moves somewhere your current system can’t follow. The weak point isn’t detection — it’s what happens when the vehicle leaves the area where your tracker has coverage. Hubble’s customers track vehicles using a Bluetooth chip embedded deep in the hardware. No external antenna. No SIM card. Hard to find, harder to disable. Designed to maintain visibility beyond traditional coverage assumptions.

Here’s a workflow that still happens every day across supply chains and field operations: Someone physically walks to a location to confirm that something is where it should be. Not because there’s no technology available. Because the technology they have doesn’t cover that location reliably. That’s an infrastructure problem. Connected systems don’t reduce manual labor by default — they only do it where coverage actually holds.

95M+ access points. That’s the scale of Hubble’s terrestrial network today, and it’s still growing. A lot of IoT deployments still depend on stitching together local infrastructure, gateways, and coverage assumptions around where devices are expected to operate. We’re focused on making connectivity work far beyond those predictable environments.

One of the more interesting things about modern asset tracking is that the biggest operational losses often don’t come from the most expensive assets. They come from the smaller assets nobody thought were worth tracking. Tools, containers, equipment, sensors, and parts moving constantly through physical operations. That’s starting to change as asset tracking systems become lower cost and easier to deploy at scale.

A surprising amount of operational friction still comes from people having to manually verify information that systems of record should already know. Checking inventory counts. Confirming shipments moved. Validating environmental conditions. Following up on missing updates. That’s a big part of what we design Hubble Network around: helping connected systems operate with more continuous awareness, so teams spend less time manually chasing information.

One of the more interesting shifts happening right now is how existing consumer-scale device ecosystems are starting to operate far beyond the environments they were originally designed for. That changes what global connectivity can start looking like at scale.

Most conversations around AI focus on models and compute. But physical-world systems leveraging AI depend on something else entirely: reliable real-world data moving continuously from sensors to gateways and infrastructure operating outside controlled environments.

A package arriving isn’t always the end of the story. For temperature-sensitive goods, industrial equipment, and logistics operations, understanding what happened during the journey can matter just as much as the final location itself.

Low-cost connectivity changes who can realistically deploy connected systems at scale. Lower-margin industries. Lower-value assets. Use cases that previously didn’t justify the infrastructure cost. That’s usually where adoption starts accelerating.

Tracking is easy. Reliability is the hard part. Any device can report a location once. Doing it again from a container ship, a remote pasture, or a warehouse in the middle of nowhere, hour after hour, is where most systems quietly stop working. That's the problem Hubble was built to solve.

People hear “asset tracking” and think the location is the only data point being transmitted. In reality, the data around the asset has always been just as important. Temperature. Environmental conditions. Movement history. Operational state. For logistics teams and operations managers, the device becomes much more valuable once it can communicate what actually happened throughout the journey, not just where the asset ended up.

At Hubble, we’re building around hardware that already exists in massive volumes globally: Bluetooth LE chips. That changes deployment timelines, hardware sourcing, power requirements, and total device cost in ways that newer wireless standards often struggle to match.

As more physical infrastructure comes online, secure data transmission matters just as much as connectivity itself. At Hubble, all data is protected with end-to-end AES encryption. AES is an industry-standard security method that encrypts information from the device, through the network, to the cloud so the data can only be read by authorized systems.

A lot of IoT infrastructure still assumes reliable local connectivity will already exist where devices operate. That assumption breaks down quickly in large-scale logistics, industrial monitoring, agriculture, and remote sensing deployments. The economics change completely once connectivity no longer depends on dense local infrastructure.

We may be biased, but we agree.

Our last partnership with @InPlay_Inc made continuous global tracking affordable. Today, we announced our expanded partnership to make that tracking intelligent. prn.to/49vFGA0

Connecting Bluetooth directly to space sounded impossible. Then Hubble launched and proved it could work. From launch day to the first successful connections from orbit, this is the story behind the network we’re building: global, battery-efficient connectivity built on standard Bluetooth hardware.