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URBAN SENSORS & IOT ROLL-OUT STARTER PACK (120 DAYS)


DEPLOYS A CITYWIDE NETWORK OF ENVIRONMENTAL, TRAFFIC, AND UTILITY SENSORS TO ENABLE REAL-TIME DECISION-MAKING AND DATA SERVICES.

Start with one dataset. Prove value. Scale only when it makes sense. Yes, that’s allowed.


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problem

SENSORS ARE DEPLOYED IN ISOLATED PILOTS WITH DIFFERENT SYSTEMS AND DASHBOARDS. THE ISSUE IS NOT BUYING SENSORS, BUT MAKING THEM WORK TOGETHER.

Common symptoms  

EACH DEPARTMENT BUYS ITS OWN SENSORS 

Leads to fragmentation and duplication.

VENDORS PUSH THEIR PROPRIETARY PLATFORMS

Lock-in risk appears immediately. 

DASHBOARDS MULTIPLY, BUT TRUST DOES NOT 

Different systems show different values. 

PILOTS NEVER SCALE

Scaling means repeating the same work from scratch.

 
 CITIES DON’T NEED MORE SENSORS. THEY NEED A SHARED DATA FRAMEWORK. YES, REALLY.

solution

HOW WE APPROACH THIS

(simple and a bit refreshing)

We standardize sensor data models and integrate 3–5 sensor types into a unified IoT operational data layer.

We connect it using:

  • FIWARE / NGSI-LD Smart Data Models.
  • The DCaaS data layer (already part of FiWAREBox).
  • Your existing systems and IT infrastructure.
No disruption.
No platform migration. 
No “strategic masterplan alignment committees”.

Once the first dataset is flowing → transparency, dashboards, and real decisions become possible.

Then we expand - only if it’s worth it.
What You Get (in 120 Days)
 
  • Unified IoT data layer.
  • 3–5 sensor types integrated.
  • Dashboards and event alerts.
  • Governance for access and retention.
  • Roll-out playbook to expand safely.
This is not a pilot.

This is your operational starting point.

 

Who This Is For ​
 

Cities that:

  • Have 50,000–500,000 residents.
  • Have teams without in-house IoT engineers.
  • Have utilities deploying sensors across infrastructure.
  • Starting with one pilot zone.
If that sounds like your city → we’re aligned already.

 

Want the architecture walkthrough?

We’ll show:

  • How the data actually flows.
  • How to start with one dataset.
  • How to avoid “Smart City over-construction syndrome”.

 BOOK A 30-MINUTE CALL