Satellite imagery, LiDAR and drone flights merge into a single coordinate system. Every building, road and bridge becomes a measurable 3D model.
Centimeter-accurate point cloud
Matched with cadastral and zoning data
Opens in a web browser, no installation needed
02/ 15
IoT sensor network
The city starts to talk
Air quality, noise, energy and structural health sensors are connected to the model. Each sensor sends live data from its real position on the map.
LoRaWAN, NB-IoT and MQTT support
Edge pre-processing, a single time-series store
Instant alert when a threshold is exceeded
03/ 15
Construction
The site is checked against the plan
The rising structure is compared with the BIM model and the work schedule every day. Crane load, wind and exclusion zones are monitored live.
4D progress and schedule variance
Crane overload and wind-stop alerts
Instant alert on entry into an exclusion zone
04/ 15
Traffic lights
The green wave tunes itself
Phase and queue data at junctions is read live. Signal timings adapt to traffic density, and ambulances and public transport get priority.
Per-lane density and queues
Green wave along the corridor
Emergency vehicle and public transport priority
05/ 15
City cameras
Incidents are seen before they are reported
Cameras are linked to the model at their positions on the map. Accidents, stopped vehicles and hazards are detected at the edge and routed to the right team.
Geo-registered live feeds
On-edge vehicle & pedestrian analytics
Anonymization by default
06/ 15
Public transport
Every trip on the map
The position, occupancy and delay of trams, metro trains and buses are tracked live. Disruptions are spotted before passengers are affected.
Live vehicle tracking across all lines
Delay detection and rescheduling
Headway and occupancy optimisation
07/ 15
Metro network
What lies underground becomes visible too
Tunnels, stations and trains in the same model. Fiber-optic sensors continuously measure tunnel strain and ground settlement.
Real-time train positions
Early warning for strain and ground settlement
Water leak detection
08/ 15
Health
The fastest route to the hospital
Ambulance positions, emergency department occupancy and traffic are assessed together. The hospital’s energy and HVAC systems are also monitored without interruption.
Live ambulance tracking
Fastest route based on traffic
Critical power and UPS monitoring
09/ 15
Disaster · Earthquake
Damage on the map within minutes
The moment an earthquake strikes, a building-by-building damage estimate is produced. Structures at high risk of collapse are ranked, and rescue teams and evacuation routes are assigned automatically.
Building-level damage and triage
P-wave early warning, elevator and rail shutdown
Assembly areas and capacity
10/ 15
Water & sewer
Pipe leaks are pinpointed
Drinking water, sewer and stormwater lines are monitored with pressure and flow sensors. Bursts are located to the meter.
Node-level pressure and flow
Leak and burst detection
Sewer fill level and overflow forecast
11/ 15
Disaster · Flood
See it before the water rises
Rainfall forecasts and stream-level sensors are combined with the model. Which street will be under water is visible hours in advance.
Street-level inundation forecasting
Pumps and gates started in advance
Evacuation & traffic rerouting
12/ 15
Disaster · Fire
The fire’s path is known in advance
Spread is simulated from wind, slope and vegetation. The nearest crew, its route and the hydrants appear on a single screen.
Wind-based spread forecast
Automatic dispatch of the nearest crew
Hydrant pressure and water reserve
13/ 15
Port
The berth is ready before the ship docks
Ship arrivals, crane cycles and the container yard are tracked live. Truck appointments are scheduled before queues form at the gate.
Berth and yard occupancy
Crane cycles and vessel tracking
Truck appointments and rail planning
14/ 15
Green energy
Generation and consumption in balance
Wind, solar and battery storage in one model. Generation is forecast from the weather, and transformer load raises an alert before a failure.
Per-turbine yield and maintenance forecast
Supply-demand balancing
Battery storage orchestration
15/ 15
Decision
All departments on the same map
Transport, water, energy and disaster teams look at the same city model. A problem one department sees also appears on the screens of the other departments concerned.
Shared cross-department workspace
Role-based access control
Open data and API access
Ready00:00:00
Drone TW-01 · Digital twin
Altitude
m
Speed
km/h
Heading
Position
Live simulation0%
Operations summary
All units, one city model
Livenow
City mapTour stops
1 km41.0436° N · 28.9921° E
Units7 units
Traffic148 junctions · green wave active
9 vehicles queuedModerate traffic
TransitT1 occupancy 68% · 14 trains on M1
96% on timeOn schedule
Health3 ambulances en route · avg. arrival 9 min
72% ER occupancyCapacity OK
Water networkNetwork 4.2 bar · flow 812 m³/h
1 leakLocated ±10 m
Flood12 / 14 pumps running
46% sewerLow risk
FireNW wind 18 km/h · 3 hydrants
4 vehicles on sceneHigh risk
EnergyWind 18 · solar 7 MW
61 MW loadT-3 in maintenance
Unit status
7units
Responding1
Watching3
Normal3
Data flowLast 60 s
Sensors12,840
Cameras3,412
Latency140 ms
Open incidents 4
Fire locationSpread 4 ha/h · 4 vehicles out
Stopped vehicle · rampTeam dispatched in 42 s
Leak in water networkPressure drop · ±10 m
Transformer T-3Service advised
Run your city with its twin.
Every layer you saw in the tour runs on a single city model in the Twinup platform. Let us show you the same with your own city’s data.
We build smart cities that are accessible, resilient and free of uncertainty.
Twinup started out with the idea of building an operating system for cities (City OS). We support infrastructure and the communities that use it with data-driven simulations that reveal problems before they arise.
30+Experts
2Offices, Istanbul and Konya
50+Projects
12Industry awards
AUS Türkiye · transportation awardsDigital Twin Consortium · digital twin awards
In the field
Digital twins, working in the real world.
From a city center to a single building, we turn live data into information used in daily operations.
Downtown: The Digital Twin of the Urban Ecosystem
We are rebuilding Dubai's iconic center in a digital universe. Using real-time IoT data and advanced simulation techniques, we optimize all urban processes from traffic flow to energy consumption from a single hub — increasing operational efficiency while serving a sustainable future.
Smart Building Management: Autonomous and Efficient Structures
We integrate buildings' energy, security and comfort systems into a single AI-powered digital interface. Autonomous systems anticipate residents' needs to maximize energy savings and minimize operational costs — living structures that merge digital transformation with architecture.
Smart Emergency Management: Dynamic Evacuation and Security
During fires, earthquakes or other hazards we analyze real-time data to dynamically guide occupants to the safest exit routes. Through the digital twin, response teams identify hazardous areas inside the building in seconds.
Structural Digital Twin: The Living Digital Copy of Buildings
We integrate all architectural and engineering data into a dynamic digital model. From energy performance to structural health, every layer is traceable through 3D simulations — giving owners and facility managers complete visibility to optimize operations and predict maintenance in advance.
Smart Port Digital Twin: Logistics and Operational Excellence
By transferring complex port ecosystems to a digital platform, we optimize loading, unloading and storage end-to-end. From ship-traffic data to container movements, the entire flow is trackable in real time — surfacing bottlenecks early and reducing the carbon footprint.
Tactical training
Before heading into the field, rehearse inside the twin.
Training simulations running in the city’s digital twin for fire, tram and bus crews. KİTEM was built on this simulation.