Digital Twin

Gain unmatched visibility over your business

From bird's-eye facility view to in-depth asset monitoring, drive operational excellence with Fabrik's comprehensive digital twin.
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What is Digital Twin?

A digital twin is a dynamic and interactive digital representation of physical assets or processes, capable of capturing real-time data, facilitating remote control, and enabling simulations to drive optimization and problem-solving.

Tailored Digital Twin to meet the unique needs of Your Industry

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Create virtual replicas of production processes and equipment with real-time monitoring and analysis of machine performance.


Fabrik's digital twin solution can be applied to hospital operations, and medical equipment management, ensuring efficient healthcare delivery.

Smart Cities

Virtual models of urban infrastructure with real-time monitoring of traffic patterns, energy consumption, waste management systems, and more.
Empower industries across the board with comprehensive digital twins, providing valuable insights and collaborative capabilities.
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Smart Cities powered by Digital Twins

For the Smart City Mission by the Indian Govt., Fabrik integrated all real-time data to produce digital twin (3D replica) of an entire city of Saharanpur. The digital twin provides a foundational base for a detailed analysis and monitoring over city traffic.

Using a 3D digital twin for traffic analysis, compared to traditional control and command centres, results in enhanced prediction accuracy and response times. Now, addressing traffic anomalies and planning infrastructure adjustments takes hours, instead of days or weeks.


While congestion levels and average travel times are metrics often assessed at a broader city level, our urban planners were seeking the capability to monitor and manage traffic with finer granularity. The objective was to optimize flow, enhance public safety, and streamline daily commuting. The data indispensable for this ambition, however, was scattered across various traffic sensors, cameras, public transport systems, and third-party mapping services. Many of these systems were not originally designed for interoperability. This siloed data environment made real-time traffic insights hard for decision-makers to grasp. Consolidation and analysis became a labour-intensive task that was delayed, sometimes taking days to provide a coherent picture. The result was reactive traffic management, where city authorities could only respond after congestion or issues became critical.

The urban infrastructure cried out for a solution to leverage its multi-million-dollar investments in traffic systems and answer pressing questions such as:

How can we swiftly reroute traffic in response to sudden congestion or accidents to ensure minimal delays?

How can we predictively manage traffic lights and signals based on real-time flow to reduce gridlocks?

How can we integrate data from public transport and roadways to give commuters the most efficient route choices?


Our platform integrated multiple traffic data sources to produce a “digital twin” of the city's traffic infrastructure, tracing the movement from one end of the city to the other.

Instead of sifting through separate traffic databases and sensor feeds, traffic managers, urban planners, and emergency responders can now engage in a no-code manner with a tangible city model, exploring roads, intersections, public transport routes, and other core city structures. All critical data is presented as an overlay within this immersive 3D environment, making information immediately intuitive and actionable.

This integrated foundation has empowered analysts to construct a detailed real-time traffic management model. With this model at their fingertips, teams can:

Optimize Traffic Flow. Within just days of deployment, an out-of-the-box traffic routing workflow enabled city officials to start enhancing road utilization in real time. They can dynamically adapt to congestion, identify alternate routes, and prioritize essential vehicular movements.

Enhance Public Transport Efficiency. Leveraging the comprehensive traffic model, transport managers can analyze and compare the efficiency of various routes, optimizing bus and tram timings to ensure punctuality and reduce crowding.

And the beauty of it all?

The digital twin of the city’s traffic system is not confined to a single control room. It's designed for the modern age, accessible on any device, anytime, ensuring that decision-makers have the insights they need, whenever they need them.
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