All your City Data in a unified private secured cloud, ready for AI-powered operations
Your challenge: So many types of sensors with different formats, different protocols, different data sources, no common data models… Citylinx unify them all in your private secured cloud, for you to start automating your city operations and feed your operators with AI-powered assistants with Citylinx.

Some of our Key Features

Bidirectional communications: upstream & downstream
Citylinx collects billions of data values from thousands of sensor types (upstream), but also can configure, control, command and monitor controllers and actuators in real time or differed time.

Deployed & scalable to millions of connected devices
Citylinx is based on the most advanced technologies to collect thousands of data value per seconds, thus supporting millions of connected assets, without compromising on performance perceived by the end-user or by 3rd party connected applications. Should you have a very large project or a high number of smaller project, you’ll be covered.

Multi-network, multi-protocol, flexible data-model
Citylinx supports all types of communication networks (cellular, mesh, LoraWan, proprietary), all types of sensors and actuators regardless of the business topic (traffic, environment, water, waste, access control, buildings, parking, outdoor lighting and more) and uniforms all data into your preferred data model.

Highest cyber security features embedded
Citylinx is ISO 27001 certified with the highest number of security test case verified by an independent auditor. Citylinx also pass independent penetration cyber security tests every 12 months.

Data management & governance
The Citylinx data models are flexible to be easily customized to your specific needs. Citylinx provides data management & governance features including creation of augmented data, automatic backup/restore, data retention and more.

All IoT sensors but also all data sources
Your Citylinx-managed operations are fueled by millions of field data values coming from sensors… but also from external existing data sources including Open Data flow, energy utility metering suppliers, weather data, traffic data coming from TomTom, Goopgle and many others.
Our Differentiators
Dynamic & Customizable Data Model
Many object & asset types available for outdoor lighting (luminaires, luminaire controllers, cabinet controllers, activity sensors, photocells), traffic counting, parking guidance (spots, zones, groups, panels), city information panels, building (buildings, floors, zones, rooms), occupancy, air quality, noise, building efficiency, solar production, weather, street maintenance, electrical cabinets, safety sensors and more.
Support of thousand of IoT device types
Citylinx enables you to import your own decoder/encoder to support any sensor, controller and actuator. It already supports thousands of connected devices from more than 50 hardware and communication suppliers.
Multi Protocols & Networks
Citylinx connects to all LoRaWAN Network Server. It supports NB-IoT devices through UDP and any IP-based communication via Webhooks, REST API and SOAP. It supports multiple other IoT networks such as Zigbee, XBee, Itron and Wirepas amongst others.
Integration of City & Utility Systems
Citylinx is connected to utility metering data services such as ENEDIS, BIRDZ from Veolia and SUEZ, to identify energy waste and water leaks in your public buildings.
Full TALQ Compliancy, Fiware & MQTT and more
With 100% of the TALQ test cases supported and tested with 22 suppliers of outdoor lighting systems, Citylinx is considered the most advanced TALQ-compliant Central Management Software on the market. Citylinx also supports all devices using the MQTT or Fiware NGSI protocols.
Live Data Sources
Citylinx is connected to live data sources in your country including real time weather forecast and traffic information from multiple providers.
The Rule Engine
Citylinx provides a rule engine to augment incoming collected data to create new contextualized additional data and store them, to add intelligence to the raw data produced by the end-devices.