Streets that see,services thatrespond.
Computer vision, IoT and AI that speed up permits, keep streets clean and safe, and help every visitor find their way, operated in-Kingdom with privacy by design.
Why smart-city services matter now
Municipalities and giga-project districts are growing faster than inspection teams. Vision and IoT turn every camera, bin and bay into a sensor, and every permit into minutes.
Permits are slow
Plan checks against the building code take weeks by hand.
Visual distortion
Graffiti, debris and damaged pavements go unreported for days.
Waste on a timetable
Trucks empty bins that are half-full and miss ones that overflow.
Privacy expectations
Public analytics need masking, retention rules and in-Kingdom hosting.
The answer: the city as a sensor, with services that respond, privacy and residency built in.
Sources: GACA 2025; Saudi Aviation Strategy; Matarat Holding; SDAIA 2026; MIM National Industrial Strategy; Future Factories Program; amsisaudi Company Profile 2026 (1446H–1447H)
Smart city & public safety, from permit to pavement
AI code compliance, street-level vision, smart waste, parking, footfall and video analytics on one municipal data layer, integrated with Balady-type platforms and command centres.
Digital permitting
AI checks building plans against the code before approval.
Street & public-safety vision
Visual-distortion detection, ANPR and video search on vetted platforms.
Smart services
Waste, parking, footfall and visitor analytics that trigger action.
Building blocks of a smart-city programme
Six components we assemble per programme, most clients start with two or three.
Code-compliance AI
Automated plan checking against building codes and municipal rules.
Street vision
Visual-distortion, incident and traffic detection on existing cameras.
Video search & analytics
Find people, vehicles and events across hours of footage.
Smart waste
Fill-level sensors, AI routing and underground systems for new districts.
Smart parking
Bay sensors and camera guidance for on-street, mall and hotel parking.
Municipal data layer
Events, work orders and analytics in-Kingdom, integrated with command centres.
How it works: from a signal to a municipal action
Six stages that every street event or permit passes through.
Sense
Cameras, bins, bays, plans
Detect
Vision and rules
Verify
Evidence and confidence
Order
Work order or decision
Act
Crew, truck, inspector
Report
Response time and trends
Where the value is across the city
Eight use cases for municipalities, districts and venues.
AI permit & code compliance
Checks building plans against the code automatically before approval.
Visual-distortion detection
Street-level vision flags graffiti, debris, damaged pavements and illegal signage.
Video search & analytics
Finds people, vehicles and events across hours of footage in minutes.
ANPR & public-security analytics
Plate recognition and live alerts on vetted, in-Kingdom platforms.
Smart waste collection
Fill-level sensors and AI routing send trucks only where needed.
Underground waste systems
Pneumatic and underground collection for master-planned districts.
Footfall & visitor analytics
People counting and dwell time for malls, venues and public spaces.
Smart parking
Bay sensors and camera guidance for on-street, mall and hotel parking.
Where it creates value for each stakeholder
Faster services, cleaner streets, safer spaces.
Municipalities
Permits in minutes; streets inspected by camera every day.
District developers
Underground waste, smart parking and a live district picture.
Safety agencies
Verified events with evidence on vetted platforms.
Malls & venues
Footfall, parking and guidance that increase dwell and spend.
Residents & visitors
Cleaner streets, easier parking, faster services.
City finance
Fewer truck rolls, better asset use, data for planning.
Start with one district and two services, waste and visual distortion pay back first.
A week in a responsive district
Illustrative sequence from a new urban district.
permit
A renovation plan is checked against the code in minutes; two issues are returned to the architect.
street
A camera flags debris beside a bin; a crew is dispatched with location and image.
waste
Fill-level data cuts the route to the bins that need emptying; the rest wait.
parking
Visitors are guided to free bays; occupancy feeds the event plan.
Faces and plates are masked by default, only events and evidence leave the camera.
Illustrative scenario, not a case study.
Technologies behind this solution
Generative AI & LLMs
Ask your operation a question. Get a sourced answer.
OpenAgentic AI & multi-agent systems
Agents that act, coordinate and report. Under your control.
OpenMultimodal AI
See, hear and read the operation at once. One understanding.
OpenComputer vision & video analytics
Cameras that understand, not just record.
Open
Let us make one districtrespond in real time.Know now.
A 45-minute walkthrough of your operation, and the one workflow worth proving first.