SMART STREET LIGHTING OPTIMIZATION STARTER PACK (90 DAYS)
Start with one dataset. Prove value. Scale only when it makes sense.
Yes, that’s allowed.
Contact usproblem
LIGHTING SCHEDULES ARE FIXED AND OFTEN WASTE ENERGY.
Common symptoms
LIGHTS RUN LONGER THAN NECESSARY
Energy is wasted.
FAULTS APPEAR ONLY AFTER COMPLAINTS
Maintenance is reactive.
SAVINGS ARE ASSUMED, NOT MEASURED
Performance is unclear.
PILOTS DO NOT SCALE
Integration is blocked.
CITIES DON’T NEED NEW INFRASTRUCTURE. THEY NEED VISIBILITY AND CONTROL. YES, REALLY.
solution
HOW WE APPROACH THIS
(simple and a bit refreshing)
We unify lighting cabinet monitoring and implement adaptive daylight-based schedules.
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)
- Lighting asset inventory
- Zone-level energy dashboards
- Adaptive schedules
- Maintenance alerts
This is not a pilot.
This is your operational starting point.
Who This Is OPTIMAL For
Cities that:
- Have 50,000–500,000 residents.
- Municipal energy departments.
- Public works operators.
- Regional concession managers.
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”.