Case study · Smart City
A digital brainfor the city.
An operator of a city-scale spatial intelligence platform that lets cities perceive, understand and interact with the physical urban environment in real time. The platform acts as a digital brain for the city, folding data from cameras, sensors, vehicles, robots and drones into one continuously updated spatial model. Combining large-scale spatial data, real-time perception and edge-to-cloud computing, it carries intelligent urban operations across public services, infrastructure management, safety, mobility and citizen experience.
Constraints and answers
A city cannot manage what it cannot see in real time.
One spatial model, and the systems built on it
Limited visibility into city-wide operations
Traditional city management systems lacked a unified, real-time view of urban infrastructure and public service performance.
Inefficient public service utilization
Services such as waste collection and public parking were not optimized, which left capacity underused and operations inefficient.
High infrastructure maintenance costs
Road and infrastructure maintenance relied on reactive processes, raising costs and reducing service quality.
City-scale spatial intelligence platform
A live, AI-powered representation of the city that serves as a persistent spatial memory and the central operating system for urban intelligence.
Real-time spatial perception
Real-time sensing through cameras and edge devices gives accurate localization, change detection and continuous updates to the city’s digital model.
Edge and cloud computing architecture
Edge and cloud infrastructure together carry low-latency perception, large-scale data processing and city-wide orchestration of intelligent systems.
Autonomous and intelligent operations
Robots, drones, vehicles and smart infrastructure can perceive, decide and act in real-world urban environments.
Perception at the edge, memory in the model.
The results
Five services measurably better, one spatial model underneath.
- 50%
- GARBAGE REMOVAL EFFICIENCY
- Collection efficiency up by half.
- 30%+
- PUBLIC LIGHTING SAVINGS
- Lower cost on public lighting systems.
- 30%
- PARKING SPACE UTILIZATION
- Better use of public parking stock.
- 20%
- ROAD MAINTENANCE COST CUT
- Road maintenance costs down by a fifth.
- INCIDENT RESPONSE TIMES
- Sub-second to seconds, report to action.
Bins, lights, parking and roads. The digital brain is judged on the ordinary things.
The stack
What was deployed
INTELLIGENCE
Sovereign AI Platform
The AI brain for spatial intelligence: large visual models, spatial perception, anomaly detection and autonomous decision-making across city-scale environments.
PLATFORM
Sovereign Cloud Platform
Cloud-native orchestration of AI services, perception pipelines, autonomous systems and application workflows across edge and cloud environments.
INFRASTRUCTURE
Sovereign Virtualization
The distributed edge and cloud infrastructure for heterogeneous compute, real-time perception and autonomous urban operations.
Note on Capabilities
The capabilities, credentials and deployment references shown across this site reflect the collective work of Amanah's core engineering team. Certain engagements were delivered under prior or affiliated entities. Sovereign deployments are confidential by mandate, so individual customers are not named. The underlying references are verifiable under NDA.
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