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Outsight has been featured as Digital Twin key player

Gartner® Highlights Outsight as Digital Twin leader

Recognized for pioneering real-time digitalization of dynamic environments, Outsight sets itself apart by focusing on the live monitoring of people and vehicle flows.


In a recent presentation on Emerging Tech in Digital Twin technologies, Gartner® spotlighted Outsight as a pivotal player in the 3D technology landscape.

Outsight was recognized alongside industry giants like Autodesk, Esri, Hexagon, and Dassault Systèmes for its innovative contributions to Digital Twin technology.

Gartner recognizes outsight among digital twin leaders

Companies highlighted by Gartner®

While these established companies focus primarily on static components of Digital Twins, such as buildings, mapping, product design, and industrial equipment and processes, Outsight stands out as the leader in digitizing the physical flows of people and vehicles in real time.

This novel approach represents a new kind of Live Digital Twin, enabling dynamic monitoring and management of spatial interactions as they happen.

Outsight’s advanced Physical AI software platform, powered by 3D LiDAR data, are revolutionizing how various sectors manage and utilize real-time spatial information.

Live 3D LiDAR data enables a complete passenger journey experience throughout the entire premises.

This recognition follows many other accolades and awards, including the selection for People Flow Monitoring in the Olympic games and the latest Airport Technology Award for its innovative solutions that enhance airport operations by providing real-time monitoring and management of passenger flows and vehicle movements.

Outsight Earns 2024 Airport Technology Award

Outsight’s groundbreaking Spatial AI Software Platform, Shift, has received the 2024 Airport Technology Excellence Awards, an event aiming to celebrate the best and greatest achievements in the aviation industry.

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The most advanced technology for Airport Flow monitoring and Spatial Intelligence

Outsight selected for Paris 2024 Olympics

We have been awarded the Olympic LiDAR award for People Counting and Flow Monitoring in Sport venues.

Read article →

Some of our Global Awards:

World-class Awards and recognitions

World-class Awards and recognitions

By focusing on the digitalization of dynamic, real-time environments, Outsight is not only redefining the capabilities of Digital Twin technology but also setting a new standard for live, actionable insights that enhance operational efficiency, safety, and user satisfaction across various industries.

Real-time 3D view and Analytics provide actionable insights to Infrastructure Operators

Real-time 3D view and Analytics provide actionable insights to Infrastructure Operators

This recognition by Gartner® underscores Outsight’s unique position in the evolving Digital Twin ecosystem.


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Frequently Asked Questions

  • What makes a Live Digital Twin different from a standard BIM-based digital twin?

    A BIM-based digital twin captures the static geometry of a building: walls, columns, floors, and asset positions. A Live Digital Twin adds continuous, real-time tracking of every person, vehicle, and robot moving through that space, assigning each a unique anonymous ID and updating their position many times per second. Outsight calls this concept the Motional Digital Twin, the third generation of digital twins, where the static model answers questions about the building while the live layer answers questions about what is happening inside it right now and what is likely to happen in the next 15 to 30 minutes. That distinction between fixed geometry and live occupancy intelligence is what Gartner recognized when highlighting Outsight as a digital twin leader.

  • Why did Gartner group Outsight with companies like Autodesk and Hexagon?

    Gartner's emerging-tech digital twin landscape spans multiple categories, from static 3D modeling and GIS to real-time operational twins. Autodesk, Esri, Hexagon, and Dassault Systemes represent the established segment focused on buildings, maps, and industrial equipment. Outsight occupies a distinct category within the same landscape: the real-time digitization of people and vehicle flows, delivered through its Motional Digital Twin platform. Being named alongside those incumbents signals that analyst coverage now treats motion intelligence as a peer discipline to structural or asset modeling. The grouping also reflects how infrastructure-based Physical AI, where sensors embedded in the environment continuously track movement rather than model static objects, has matured into a recognized discipline in its own right.

  • How does Physical AI software turn raw LiDAR pulses into digital twin data?

    The pipeline starts at the edge: a preprocessor converts raw point clouds (millions of 3D coordinates per second per sensor) into structured entity streams, each entry carrying a bounding box, a classification, and a behavior label. Multiple sensors across a site are fused into one shared coordinate system, so a person walking from one sensor's coverage zone into another keeps the same anonymous ID without interruption. Outsight's SHIFT platform follows exactly this architecture, processing those fused entity streams into a Motional Digital Twin that reflects every tracked person, vehicle, or robot in real time. The result feeds the digital twin as a continuous, structured record of every tracked entity's position and behavior, updated in under 50 milliseconds.

  • Can a live motion digital twin run on top of an existing static digital twin or BIM?

    Yes. When a site already has a BIM, GIS model, or asset-monitoring digital twin, the motion layer attaches to that existing 3D geometry rather than replacing it. The static model provides the spatial reference: walls, zones, asset locations. The live layer then populates it with tracked entities in real time. Outsight's Motional Digital Twin is designed for exactly this integration, sitting on top of existing spatial infrastructure and adding continuous, anonymous tracking of people, vehicles, and robots as they move through the space. Sites without an existing model can still deploy a motion twin; the sensor calibration process produces a working 3D occupancy map sufficient for spatial analytics, with a more detailed BIM imported later if needed.

  • What industries outside airports can use a live digital twin for people flow?

    Live motion digital twins are deployed across transportation hubs (train stations, cruise terminals, ports), sports venues, large retail and hospitality sites, smart-city intersections, hospitals, and industrial facilities where worker and AGV paths need to be coordinated. The technology is sensor-agnostic and site-agnostic: any environment where the movement of people or vehicles affects operational performance, safety compliance, or service quality is a candidate. Outsight's Motional Digital Twin platform reflects this breadth directly, with publicly referenced non-airport deployments spanning BMW and other automotive factories, City of Bellevue smart intersections built around Vision Zero safety goals, SNCF Gares & Connexions train stations in France, and security-sensitive facilities such as datacenters.

  • Does being recognized by Gartner mean the Motional Digital Twin category is now mainstream?

    Gartner recognition at the emerging-tech stage indicates a category is past proof-of-concept but not yet at commodity adoption. Inclusion in a landscape alongside established players like Autodesk and Hexagon confirms that live motion twins are treated as a peer discipline by analyst coverage, not a niche extension. Outsight has been recognized by Gartner seven times across spatial computing and digital twin categories, which suggests the category has moved from experimental to a defined segment within infrastructure operations software. The Motional Digital Twin, as pioneered by Outsight through its SHIFT platform, sits at the center of this shift, with deployments spanning airports, train stations, smart-city intersections, and factories across five continents as real-world evidence that the category is scaling beyond early adoption.