Naboo IntelligenceNabooIntelligence
Aerial night view of a smart city with a data layer

Industry · Smart Cities

The city,
on a single screen.

For city governments, metropolitan areas and urban-service operators that must connect mobility, security, mass events and citizen service.

The problem · Smart Cities

Cameras, sensors and citizen reports don't talk to each other. The response arrives once it's already news.

  • 01Fragmentation

    The control room watches eight screens and none is connected to the other.

  • 02Manual triage

    Citizen reports trickle in via WhatsApp, social media and the 123 line — with no correlation.

  • 03Late decisions

    Predictable mass events overwhelm operations because the decision is made once it has already happened.

70%

of the cost of a critical incident builds up in the first 2 hours.

62%

of operational time is spent querying systems before being able to decide.

more correlated events are detected when data is cross-referenced in real time.

Estimates based on incident-response benchmarks · Internal analysis 2025–2026

Each urban vertical has its own system. Traffic, cameras, emergencies, citizen service and social media rarely talk to each other. Naboo connects them, anticipates disruptions such as protests, blockades or mass events, and coordinates the response in real time.

Naboo · in Smart Cities

How it works in your operation.

Each urban vertical has its own system. Traffic, cameras, emergencies, citizen service and social media rarely talk to each other. Naboo connects them, anticipates disruptions such as protests, blockades or mass events, and coordinates the response in real time.

  • Anticipation of protests, blockades and mass events
  • Real-time mobility and traffic management
  • Citizen security and urban video analytics
  • Conversational citizen service at scale

naboo://halcón

live
Halcón·Operational map
13:42 UTCLive

Case · anonymized

What changed once it was integrated.

Context

Metropolitan area of 4M inhabitants with municipal cameras, traffic sensors and a 123 line operating in isolation.

Process

Inbox unifies the feeds, Oráculo predicts congestion and unrest with scoring, Centinela coordinates dispatch.

Result

Tripled prioritized events per shift and reduced resource deployment time during mass events.

Reference KPI

What moves.

01

Prioritized events per operations shift

Ratio of actionable events handled per operator versus the baseline, keeping the same headcount.

02

Real time

Multi-source correlation + geographic alerting

Inbox + Halcón ingest cameras, IoT sensors, mobility data and social media in the same temporal layer.

03

−45%

Resource deployment time for mass events

Compared against the prior flow of manual dispatch by radio and calls between departments.

Next step

Demo for Smart Cities.

Smart Cities demo: 45 min on a real urban operation.