Physical Twin

Digital twin & real-time 3D studio

Every asset, twinned in real time.

Pixtwin Studio designs and engineers digital twins, real-time dashboards and 3D factory command centers — turning live plant data into models your teams can walk through.

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Sync latency
38ms
Assets online
128/ 128
Signals / sec
18.4k
Render
60fps

Drag the scan line — physical / twin

01 Studio Who we are

About Pixtwin Studio

Pixtwin is a studio for the physical world’s digital double. We turn factories, campuses and infrastructure into living 3D systems — streaming sensor data, geospatial context and business logic into one interactive model your teams can see, question and act on.

A

Operator-first

Designed with the people who run the floor, not for a boardroom demo. Every view answers a real operational question.

B

Engine-grade 3D

Unreal Engine visuals delivered to a browser tab, a control-room video wall or a headset — from one source model.

C

Data you already own

We connect PLCs, SCADA, MES and historians through Databricks, Azure and AWS. No rip-and-replace.

02 Services What we build

Four ways we make
operations visible.

Each engagement ships as a working system — not a render. Models are bound to live data from day one, and designed to grow asset by asset.

Fig. 01 — Asset twin Synced
01

Digital twins

Geometry-accurate replicas of assets, lines and sites — bound to live telemetry, history and simulation.

  • Reality capture & CAD / BIM ingest
  • Semantic asset hierarchy
  • What-if simulation
Fig. 02 — Live KPIs 1 Hz
02

Real-time dashboards

Operational dashboards that update in milliseconds, not minutes — built for the control room and the boardroom alike.

  • OEE, energy & quality KPIs
  • Alarm & event streams
  • Role-based views
Fig. 03 — Production cell Running
03

Factory 3D command centers

Walk the plant floor from anywhere. Every machine, conveyor and AGV rendered in 3D and reporting live.

  • Unreal Engine plant models
  • Pixel Streaming to the web
  • Video walls with nDisplay
Fig. 04 — Geospatial EPSG:4326
04

Geospatial twins

Campus-, city- and network-scale twins anchored to GIS — from terrain and utilities to live vehicle positions.

  • ArcGIS & Cesium integration
  • 3D Tiles & CityGML
  • Asset geo-referencing
03 Live demo Simulated data

Real-time,
not refresh-time.

Streaming pipelines push state from the edge to the screen in under a second — a spindle on a line or a sensor on a street corner. Pick a scenario and hover anything below.

Plant 01/North assembly/Overview
Shift B
Floor twinIsometric · 42 tracked assets
ThroughputUnits per hour · last 1 min
Line utilization% of planned time
Floor temperature°C · 24 × 10 zones
Event streamNewest first
    04 Technology Tools we build with

    Engine-grade 3D.
    Enterprise-grade data.

    No single platform makes a twin. We combine a real-time engine, geospatial data, a lakehouse and your cloud — and wire them into one live model.

    Fig. 05 — Five tools, one live model Select a tool

    • Photoreal plant and city scenes, streamed to any browser with Pixel Streaming or scaled across control-room video walls with nDisplay.

      Used forFactory 3D · Digital twins · Geospatial twins

      • Pixel Streaming
      • Datasmith
      • Blueprints & C++
      • nDisplay

    • Geo-referenced twins built on authoritative map data — terrain, buildings, utility networks and live positions.

      Used forGeospatial twins · Dashboards

      • ArcGIS
      • Cesium
      • 3D Tiles
      • CityGML

    • Lakehouse pipelines that unify historian, MES and IoT data — with streaming analytics and ML models feeding the twin.

      Used forDashboards · Digital twins

      • Delta Lake
      • Structured Streaming
      • Unity Catalog
      • MLflow

    • Device connectivity, twin graphs and event routing, designed around your tenancy and security model.

      Used forDigital twins · Dashboards

      • Azure Digital Twins
      • IoT Hub
      • Event Hubs
      • Functions

    • Industrial data ingestion, asset modelling and stream processing — from edge gateway to scene.

      Used forDigital twins · Dashboards

      • IoT Core
      • IoT SiteWise
      • Kinesis
      • Lambda

    Where each tool fits

    Tool Digital twins Real-time dashboards Factory 3D Geospatial twins
    Unreal EngineCoreSupportingCoreCore
    GISSupportingSupportingNot usedCore
    DatabricksCoreCoreSupportingSupporting
    Microsoft AzureCoreCoreSupportingSupporting
    Amazon Web ServicesCoreCoreSupportingSupporting

    Azure and AWS are interchangeable — we build on the cloud you already run.

    05 Process How we work

    From site walk
    to live twin.

    We start small — one line, one building — and prove value with live data before scaling. Every phase ends with something running.

    1. 01

      Discover

      Site walk, data audit and KPI definition. We map what exists, what already streams, and what actually matters.

      Weeks 1–2
    2. 02

      Capture & model

      LiDAR, photogrammetry and CAD / BIM converted into optimised, semantic 3D ready for real-time engines.

      Weeks 3–6
    3. 03

      Connect & stream

      PLC, SCADA, MES and IoT feeds wired through cloud pipelines and bound to every asset in the model.

      Weeks 5–10
    4. 04

      Operate & evolve

      Launch to control rooms and browsers, then iterate with simulation, alerting and predictive models.

      Ongoing
    06 Sectors Where twins pay off

    Built for places
    that never stop.

    From a single production cell to a city-wide network, the same twin foundation scales with the operation — one model, one source of truth.

    S.01

    Discrete manufacturing

    Assembly lines, robotic cells and AGV fleets.

    OEE · cycle time · scrap
    S.02

    Process & energy

    Plants, tank farms, pipelines and substations.

    Throughput · pressure · kWh
    S.03

    Ports & logistics

    Yards, cranes, warehouses and moving fleets.

    Dwell time · moves / hr
    S.04

    Smart cities & campuses

    Buildings, mobility and utilities on one GIS base.

    Occupancy · flow · carbon
    S.05

    Utilities & grids

    Networks, outages and field crews in context.

    SAIDI · load · crew ETA
    S.06

    Facilities & real estate

    HVAC, energy and space performance in 3D.

    Comfort · energy · uptime
    07 Questions

    Straight
    answers.

    What exactly is a digital twin?

    A live, data-connected model of a physical asset, process or place. Unlike a static 3D model, a twin reflects current state from sensors and business systems — and lets you simulate a change before you make it on the floor.

    Do we need to install new sensors?

    Usually not at first. Most sites already produce rich data through PLCs, SCADA, historians and MES. We start with what streams today and recommend instrumentation only where it closes a real gap.

    Which cloud platforms do you work with?

    Microsoft Azure and Amazon Web Services, with Databricks as the lakehouse layer where it fits. We design around your existing tenancy, security model and data governance.

    How is the 3D delivered to users?

    In the browser via WebGL or Unreal Engine Pixel Streaming, on control-room video walls, or as desktop and XR applications — all from the same source model.

    How long does a first twin take?

    A focused pilot on one line or building typically goes live in 8–12 weeks. From there the twin grows asset by asset, on the same data foundation.

    08 Contact New projects

    Let’s twin
    something real.

    Tell us about the site, the data and the decision you want to make faster. We reply within one business day.

    hello@pixtwin.studio
    Interested in