From Libelium. We make the sensor and the platform it reports to.

Every sensor you own becomes the same NGSI-LD entity

11 public REST endpoints, and two of them write: one sends commands back to the field in bulk. Cities, utilities and industrial operators use iris360 to ingest their devices and third-party feeds, type them against Smart Data Models, and act on what comes back. Your gateways and your SCADA stay where they are.

11 REST endpoints
Public and documented. One of them sends commands to devices in bulk.
5
out-connectors already in production — HTTP, MQTT, Azure IoT, Sentilo and FIWARE. The list a deployment starts from, not the list it is limited to.
MCP server
Point an AI assistant at your own deployment. It queries the live platform under that user's permissions.

Technological partners

Certifications & compliance standards

Seven screens your team will open every week

Bring in whatever is already deployed. Switch on the module a department needs. Build the view a role needs, send the report a regulator asked for, catch the threshold that matters, and model the intervention before the street does.

Your eleventh sensor vendor costs a configuration screen

Devices arrive over MQTT, HTTP, an IoT Agent or the integrated LoRaWAN network server, and every reading leaves as an NGSI-LD entity typed by a Smart Data Model. The dashboards and rules downstream were written against the model, so the eleventh manufacturer is a Tuesday and not a quarter.

The same normalisation is what lets the data leave again. Below is the out-connector list from a real deployment: five destinations configured, none of them written in code. A sixth is a form, not a release.

From a new gateway to an automated action, in four moves

None of them needs a firmware change or a data engineer on standby. Every one happens in the interface, and each is shown here as it actually looks.

Connect

Point the gateway at the integrated LoRaWAN network server, at an IoT Agent, at MQTT, or at plain HTTP. The device keeps sending exactly what it already sends. Libelium builds the Smart Spot and Plug & Sense hardware as well, so on our own boxes the ingest path has been through a few winters on a pole.

Ten Smart Spots reporting. The last column is the time of their last reading, all of them minutes old.

Model

Choose the Smart Data Model that matches the device. Orion-LD creates the entity and the time series starts filling, so two parking sensors from two manufacturers become the same kind of thing for every dashboard, rule and connector downstream.

The type is in the URN: AirQualityObserved, straight from the public catalogue.

Watch

Drag panels onto a dashboard and bind them to entities. Publish it internally, or on a public URL when the audience is the city.

A board assembling itself panel by panel. Seventeen chart types, no code.

Act

A rule decides what a broken threshold does: notify, call a webhook, push to an out-connector, or send a command straight back to the devices.

Each rule is named for the limit it watches, so the list reads without opening anything.

Six vertical modules on one core

You license the ones a department needs and the rest stay off. Each one is its own data models, its own algorithms and its own screens, on the same core. Four are generally available and two more are scoped on request.

The frame around all of it

Who the deployment belongs to, who gets in, what is licensed, and how it is run. These four are settled once, at contract time, and they hold across everything else on this page.

Organizations One isolated account per customer

It fits the stack you already have

Data comes in over the radios and protocols you already run and leaves through the out-connectors already in production — HTTP, MQTT, Azure IoT, Sentilo and FIWARE — plus a WebSocket feed and the public REST API. Anything that speaks HTTP or MQTT is a configuration away. The full matrix, with a search box, is on the architecture page.

Five plans. Three ways to run the same platform

Starter, Basic and Pro are tenancies on our EU cloud and differ only in how much room they give you. Enterprise runs on your own infrastructure and Special on a cluster we run for you alone. Reading and writing through the public API is not metered per call on any of them.

One normalised picture of everything you have deployed

Commands that reach the field through the same bearer token you read with, and one endpoint that hands the entire history back on the day you ask for it.

Libelium has been putting sensors on lamp posts since 2006. iris360 is the software we ended up writing, because our own hardware kept arriving in cities that already had three other vendors on the street. One supplier for the box on the pole and for the platform it reports to.

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