AI for smart city operations,
on your own infrastructure.
Run traffic, public spaces, citizen services, and disaster response on one platform: city cameras, an auditable agent, and satellite, all on-premise.
A city runs on data it cannot watch in real time and services it cannot scale fast enough. We layer three vantage points over the same urban domain.
Three vantage points over one city
Each layer is powered by a different product, working the same urban domain from a different distance.
See every intersection and public space
NIST-tested camera analytics run on existing city CCTV, reading vehicles and plates for traffic and tracking crowd density across plazas, all tagged automatically into a searchable record.
- Traffic & ANPR
- Crowd analytics
- Searchable record
Run the city command center
An auditable agent routes and answers citizen complaints across every channel and queries department data on demand, so leaders get one sourced answer instead of waiting on five offices.
- Citizen complaints
- Cross-department answers
- Sourced & auditable
Watch the whole region from orbit
On-orbit AI maps floods, fires, and land-use change across the region, day or night and through cloud, so response agencies see the true extent of an event the same day it happens.
- Flood & fire mapping
- All-weather
- No ground hardware
What it does across the city
Traffic Monitoring
Count vehicles, read license plates, and measure congestion across the road network on your existing CCTV. Cities retime signals, support ETLE enforcement, and clear incidents faster, cutting jams and shortening commutes.
Powered by VisionAIrePublic Area Monitoring
Track crowd density, safety, and anomalies across public spaces and events, with early warning of overcrowding before a situation escalates.
Powered by VisionAIre AthenaPublic Complaints Automation
Route, summarise, and answer citizen complaints from every channel automatically, so the same team resolves far more cases without growing headcount.
Powered by Athena AthenaCity Operations Assistant
Ask across department data and dashboards and get one sourced answer in seconds, instead of waiting on reports from five different offices.
Powered by Athena SatelliteDisaster & Environmental Monitoring
Detect floods, fires, and land-use change across the region from orbit, so response agencies see the true extent and direct relief where it is needed most.
Powered by SatelliteSmart city AI, answered
Can't find what you need? Talk to the smart city team.
What is AI video analytics for smart cities?
AI video analytics for smart cities applies computer vision to a city's existing CCTV to read what cameras see automatically: counting vehicles, reading license plates, and measuring crowd density across roads and public spaces. Instead of staff watching walls of screens, the system tags events as they happen and keeps a searchable record. Nodeflux runs this on a NIST-tested engine, on-premise, so the footage and detections stay inside city infrastructure.
How does AI traffic management work with existing CCTV cameras?
The analytics layer connects to cameras a city already has, so there is no need to rip and replace hardware. It counts vehicles, reads plates (ANPR) for flow and enforcement, and measures congestion per corridor in real time. That live data feeds the control room so signals can be retimed and incidents cleared faster, and it supports electronic traffic law enforcement (ETLE) workflows.
Can smart city AI run fully on-premise for data sovereignty?
Yes. Every part of the stack can run on-premise and air-gapped, so video, detections, complaint records, and reports stay inside the city's own infrastructure with full data ownership. This matters for citizen data and is built for regulated government operations across Indonesia and Southeast Asia.
Which AI companies provide smart city solutions in Indonesia and Southeast Asia?
Nodeflux is an Indonesian deep-tech AI company, founded in 2016, ranked top-25 worldwide on the U.S. NIST Face Recognition Vendor Test and deployed across 8 countries. It builds on-premise video analytics, an auditable AI agent, and satellite intelligence used for city traffic, public-space, citizen-service, and disaster operations, work that aligns with Indonesia's national 100 Smart Cities program (Gerakan Menuju 100 Smart City).
How can a city automate citizen complaints with AI?
An auditable AI agent takes in complaints from every channel, classifies and routes each one to the right desk, and drafts answers automatically. Residents get faster resolutions while the same team handles far more cases without growing headcount. Because the agent is sourced and auditable, every answer can be traced back to the record it came from.
How is satellite AI used for flood and disaster monitoring?
On-orbit AI analyses satellite imagery to map the true extent of floods, fires, and land-use change across a region, day or night and through cloud cover, with no ground hardware to install. Response agencies see what is happening the same day and direct relief to where it is actually needed. This reaches areas no fixed city camera can cover.
Run your city. Own your data.
From the street to the command center to orbit, deployed on your own infrastructure.
AI for smart city operations in Indonesia and Southeast Asia
Nodeflux delivers on-premise AI for smart city operations: AI video analytics for smart cities, smart city traffic management AI, ANPR for traffic enforcement and ETLE electronic traffic law enforcement, public area and crowd monitoring, an AI city command center for citizen complaints and cross-department answers, and satellite flood and disaster monitoring. NIST-tested, on-premise, and air-gapped for smart city data sovereignty, supporting Indonesia's 100 Smart Cities program (Gerakan Menuju 100 Smart City) across Indonesia and Southeast Asia.