AIoT & Smart City Technology Solutions — IoT Hardware + Software

Live 3D Model

Step inside the city.

The same live twin your operators and investment board use to plan, justify and de-risk every capital decision — rendered from real telemetry. Drag to orbit and explore.

Building City Model…

QAT · 3D Twin — District 7

assets 0 · 60 fps

LIVE RENDER

WebGL · 90 FPS

HOLO LAYER · ON

Energy · EMS

68%

GRID LOAD · 4.2 MW

Traffic Flow

82idx

AVG · 34 km/h · 214 nodes

Access Ctrl

1,204

ENTRIES TODAY · 0 BREACH

Smart Lighting

18,402

LUMINAIRES LIT · 38% SAVED

Buildings

Roads & Traffic

Adaptive Lights

Utilities

Drones & Data

Drag to orbit

QAT · Live Twin — District 7

Digital Twin

Your city, mirrored in real time.

Every sensor, asset and event streams into a living 3D model. Operators don't read reports — they watch the city think.

Millisecond telemetry sync

Sub-second pipelines keep the twin faithful to the physical city — no stale dashboards, no guesswork.

Predictive simulation

Run flood, traffic and load scenarios against live state to test interventions before committing budget or crews.

Autonomous control loops

Approved playbooks let the twin act back on the city — retiming signals, dimming lights, dispatching maintenance.

AIoT · Artificial Intelligence of Things

The city that thinks ahead.

Every QAT deployment ships with an embedded AIoT layer — AI fused with street-level IoT sensors, trained on your city's own telemetry to predict, detect, simulate and act, with humans always in the loop.

AIoT-native architecture 17 models in production 41 ms edge inference Retrained nightly Human-in-the-loop Explainable decisions

Secure Identity · Live

Computer Vision & Security

Biometric identity, verified at the edge

Face and object recognition run on-device with zero-trust identity — only encrypted events leave the pole, never raw video — so access, safety and privacy hold across the whole city.

Predictive Analytics

Demand, faults and flows forecast hours ahead — energy peaks, traffic build-up, water pressure and AQI, all predicted before they hit the street.

Computer Vision

On-camera models classify vehicles, incidents and crowd flow at the edge — no raw video leaves the pole, only encrypted events.

Anomaly Detection

Self-learning baselines flag leaks, meter tamper, sensor drift and security events the moment they deviate — before they become outages.

Autonomous Control

Approved playbooks close the loop — retiming signals, dimming lights, rerouting fleets — with every action logged and reversible.

Scenario Simulation

Heatwaves, road closures, festival crowds — run what-if scenarios against live twin state and see the outcome before committing budget.

AI Copilot

Ask the city anything in plain language — "why is District 4 over budget on energy?" — and get answers grounded in live data.

Try the copilot →

Solutions

Everything your city needs to think for itself.

From street-level sensors to executive dashboards — six integrated AIoT capability lines that turn raw signals into lower costs, safer streets and faster, evidence-based decisions.

IoT Sensor Networks

City-wide LoRaWAN, NB-IoT and 5G sensor meshes for traffic, air quality, water, waste and structural health — engineered for 10-year field life and 99.9% uptime.

Real-Time Digital Twins

Living 3D replicas of districts and assets, synchronised with live telemetry — simulate floods, traffic and energy scenarios before they happen on the street.

Data & AI Platform

A unified ingestion and analytics layer with edge ML — anomaly detection, demand forecasting and automated control loops across every connected system.

Smart Lighting & Energy

Adaptive street lighting, smart metering and grid analytics that cut municipal energy spend by up to 38% while improving safety and coverage.

Open dashboard →

Connected Mobility

Intelligent intersections, transit telemetry, EV-charging orchestration and parking guidance — moving people through the city with less congestion and emissions.

Security & Resilience

Zero-trust device identity, encrypted telemetry and incident response baked into the stack — critical infrastructure that stays up when it matters most.

The complete solution catalogue

17 deployable solutions · one integrated platform

Smart Street Lighting

Smart Electricity/Water/Gas Metering

Smart Waste Bin Level Monitoring

AI-Based Traffic Solutions

Indoor & Outdoor Air Quality Monitoring

Smart Homes

LED Displays (COB & SMD)

Audio/Video Conference Rooms

Access Control

Energy Management System (EMS)

Building Lighting

Smart Hospital

Smart Security Cards

UVSS Vehicle Inspection

Surveillance Systems

Building Management System (BMS)

Telephone Exchange (Communities & Villas)

Platform

One platform, five layers.

From the sensor on the pole to the dashboard in the command centre — a single, secure stack we own and operate end to end. One accountable partner, far less integration risk for you.

Applications & Experience

Command-centre dashboards, citizen apps, open APIs and the live digital twin.

WebMobileOpen APIDigital Twin

AI & Analytics

Anomaly detection, demand forecasting and closed-loop automation at the edge and in the cloud.

Edge MLForecastingRules Engine

Data Platform

A unified time-series lake and asset model that keeps the twin in sync with the real world.

Time-SeriesData LakeGraphQL

Connectivity & Ingestion

Secure device onboarding and high-throughput streaming with zero-trust identity.

MQTTCoAPTLS 1.3Kafka

Edge & Devices

Industrial sensors, gateways and edge compute engineered for a 10-year field life.

LoRaWANNB-IoT5GModbus

How we work

From blueprint to living infrastructure.

A proven, phased delivery model — each stage delivers measurable value and a clear go/no-go before you commit to the next. Low risk in, visible return out.

Assess

Site surveys, RF planning and data audits produce a deployment blueprint scored against ROI and resilience targets.

Deploy

Certified field teams install sensors, gateways and edge compute with zero-touch provisioning and full chain-of-custody.

Connect

Devices onboard into the platform with zero-trust identity; the digital twin lights up as telemetry begins to flow.

Optimise

AI models tune energy, traffic and maintenance continuously — with quarterly reviews against hard KPIs.

ROI Calculator

See your payback, live.

Move the sliders to match your city. We estimate the annual savings, carbon reduction and payback period a QAT smart-lighting & parking rollout typically delivers.

Your city

Population500,000

Street lights18,000

Parking spaces6,000

Electricity cost ($/kWh)0.16

Estimated annual savings

CO₂ reduction / yr

Maintenance saved / yr

Payback period

0mo

ESG / SDG impact score

0/100

Illustrative model based on QAT deployment benchmarks · book a demo for a costed business case.

Industries

Built for the places people live and work.

One platform, tuned to the realities of each sector — so every dollar of infrastructure spend works measurably harder.

Municipalities

City-wide command centres, citizen services telemetry and evidence-based urban planning.

Utilities & Energy

Smart metering, grid analytics, leak detection and demand-response orchestration.

Real Estate

Intelligent buildings with occupancy analytics, predictive HVAC and tenant experience platforms.

Transport & Ports

Fleet telemetry, yard automation, intersection intelligence and cold-chain monitoring.

Industrial Parks

Asset condition monitoring, worker safety zones and utility sub-metering at estate scale.

Environment

Air, water and noise sensing networks with public dashboards and regulatory reporting.

FAQ

Straight answers, no jargon.

What decision-makers ask before they partner with us.

What is AIoT — and how does QAT use it?+

AIoT (Artificial Intelligence of Things) fuses AI with IoT sensor networks so infrastructure doesn't just report data — it acts on it. In every QAT deployment, edge devices run AI models on-site (computer vision, anomaly detection, demand forecasting), feeding a real-time urban digital twin that lets smart cities predict faults, retime traffic, dim lighting and cut costs automatically.

How long does a typical deployment take?+

A pilot district is usually live within 6–10 weeks — from site survey to a working digital twin. City-wide rollouts are phased against your budget and priority zones, with each phase delivering measurable value before the next begins.

Do you work with our existing sensors and systems?+

Yes. QAT is vendor-neutral and protocol-agnostic — LoRaWAN, NB-IoT, 5G, Modbus and more. We ingest data from hardware you already own and integrate with your cloud, GIS and ERP so nothing gets ripped out unnecessarily.

How do you handle data security and privacy?+

Security is built into every layer: zero-trust device identity, TLS 1.3 encryption end to end, and role-based access control. Our platform is ISO 27001 and SOC 2 aligned and GDPR-ready, with data residency options to meet local regulation.

Can the platform scale from a pilot to city-wide?+

Absolutely — the same architecture runs a single street and a whole metropolis. The data platform is horizontally scalable and edge compute keeps latency low as node counts grow into the hundreds of thousands.

What does ongoing support look like?+

We operate the stack with you: 24/7 monitoring from our command centre, proactive maintenance, firmware and security updates, and quarterly optimisation reviews measured against the KPIs we agree up front.

How is ROI measured?+

Every engagement starts by defining hard targets — energy saved, incidents reduced, uptime, citizen reach. We baseline before deployment and report against those numbers continuously, so the return is visible, not anecdotal.

What commercial models do you offer?+

Whatever fits your books — outright capex, phased investment, or a fully managed outcome-as-a-service model where you pay against the savings we deliver. We shape the commercial structure around your budget cycle and procurement rules, and build the business case with you.