SECTOR / 07 Industry

Smart City, at giga-project pace.

Urban AI for the Kingdom's next decade — NEOM, Diriyah, Qiddiya, ROSHN, and the heritage capitals. We build the data fabric, the operations centers, and the citizen-facing services that make a city feel intelligent, not just instrumented.

Cities under coverage
5active programs
Sensors integrated
12k+
Daily mobility events
380k
Operations uptime
99.95%
المدنSMART CITY · KSA
STEWARDSNEOM · ROSHN · DGDA · RCRC
OPERATING MODELGiga-project · municipality
STRATEGYVision 2030 livability
POSTUREPDPL · NDMO classified
01 / The brief

What a Saudi smart city actually demands.

Six pressures we hear from giga-project CTOs, RCRC programme leads, and municipality CIOs on every first call.

01 /

Giga-project velocity

NEOM, Diriyah, Qiddiya, and ROSHN are committing to operating models that don't exist yet. Software has to land before the buildings do — every quarter slips a city by a quarter.

→ Quarterly delivery cadence
02 /

Mobility under heat

Riyadh summers, pilgrim peaks, and giga-project commuting patterns push transit to its limits. Predictive routing, signal control, and parking guidance are not nice-to-haves — they are the throughput.

→ +18 pp on-time
03 /

Sustainability targets

Net-zero ambitions land in the metering, the HVAC, the irrigation, and the waste pickup. Without an analytics fabric tying meters to operations, the targets remain slogans.

→ Meter-to-action loops
04 /

Citizen services in two languages

Every interaction with the city has to work in Arabic and English at parity. Dialect, code-switching, and accessibility for elderly Saudis and expatriate residents are first-class requirements.

→ AR-first UX
05 /

Operations centers

Cities run on fused operating pictures, not 14 dashboards. Traffic, security, utilities, and citizen channels collapse into one C2 surface or the operators ignore the screens.

→ Single C2 surface
06 /

Sovereign data fabric

Sensor, video, mobility, and citizen-service data is sensitive under PDPL and the NDMO classification framework. The fabric has to stay in-Kingdom, accredited, and auditable end-to-end.

→ In-Kingdom · classified
02 / Service mapping

How our service lines land in smart city.

Six disciplines, sector-tuned around the giga-project operating model and the realities of running a Saudi municipality.

03 / Flagship deployments

Where it has actually shipped.

Two engagements that anchor the practice. Names redacted under MNDA — the operators know the work.

CASE / 01 · CAPITAL

Mobility intelligence

Riyadh corridor · live since Q2 1446H · expanding network

A fused-vision and signal-control fabric across 1,200 intersections producing 15-minute load forecasts and signal recommendations to the city's operations director. Wired into RCRC's operations program.

1,200INTERSECTIONS
15mFORECAST HORIZON
+18ppON-TIME LIFT
−24%INCIDENT MTTR
CASE / 02 · GIGA-PROJECT

Citizen services copilot

Resident services · soft-launch 1446H · scaling 1447H

An agentic Arabic-first assistant inside the resident app, handling permits, complaints, wayfinding, and service requests. Plugs into the existing service catalog so we extend rather than replace.

2LANGUAGES (AR · EN)
110kSESSIONS / WK
87%RESOLUTION RATE
4.6★RESIDENT CSAT
04 / Stewards & posture

Authorities we operate alongside.

NEOM
ROSHN
DGDA · Diriyah
Qiddiya
RCRC · Riyadh
AMANAH (municipalities)
PDPL
NCA ECC
NDMO Classification
In-Kingdom data
Edge-first inference
Bilingual UX
05 / Ecosystem

Who we work alongside.

Authorities, sovereign infrastructure, and the operating partners we integrate with across the giga-project landscape.

AuthorityRCRC
AuthorityDGDA
Giga-projectNEOM
Giga-projectROSHN
Sovereign Cloudstc cloud
HyperscalerGoogle Dammam
Edge / Telcostc · mobily
Sensors / IoTStratum partners
06 / FAQ

Common questions.

Where does the data live?

In-Kingdom by default. Sensor, video, and citizen data lands in sovereign cloud or operator-owned edge — never in a foreign region. We deploy under PDPL and the NDMO classification framework on day one, not as a retrofit.

Do you replace the existing city stack?

No. We extend — by SDK, by API, and by event bus. Cities have already invested in dashboards, ITS, and resident apps; we add intelligence on top of those investments rather than asking the operator to switch tools.

How do you handle giga-project pace?

A multi-year master plan, but quarterly capability releases. Each release is a single, useful operating model — congestion forecasting, citizen copilot, incident triage — that the city can adopt independently.

What about privacy on CCTV / sensor feeds?

Computer vision runs at the edge. We extract counts, density, and incident signals — not identities. Faces are not retained by policy. Privacy posture is written, not implied, on every deployment.

How do you integrate with existing operations centers?

We supply analytics and decisions; the operations center keeps its console. Integration is by event-bus, REST, and SDK, not by displacing the existing C2 vendor.

What's the engagement shape?

Onshore Saudi team, multi-year mission programs, quarterly steering with the operator's CTO and operations director. We staff a permanent cell at the city's operations facility during peak rollout windows.

The Saudi city is a software problem.

المدينة السعودية مسألة برمجية أيضاً.

Sixty-minute working session with our Smart City lead and a mobility engineer. Bring the corridor, the giga-project, or the citizen-service backlog. We'll come back with a one-page operating-model proposal you can take to the steering committee.