WASTE CIRCULAR ECONOMY UTILITY STARTER PACK (90 DAYS)
Start with one dataset. Prove value. Scale only when it makes sense.
Yes, that’s allowed.
Contact usproblem
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”.
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 90 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.
- Teams without in-house IoT engineers.
- Utilities deploying sensors across infrastructure.
- Larger cities 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”.