Telecom

Physical AI Telecom Twins

Interactive 3D twins of cell sites and in-building networks, with a copilot that finds the fault and drafts the work order.

Overview

Operable digital twins of telecom sites that combine 3D geometry, radio coverage and live telemetry with an AI copilot for diagnosis and dispatch.

Physical AI Telecom Twins model a site as it is built (the mast, antennas, radios, cabinets, floors, cabling and the equipment around them) and overlay radio coverage and 15-minute performance counters on that geometry. Robots and drones in the twin inspect the site the way a field crew would: a drone orbits a sector, a rover drives to the cabinet, a quadruped walks an office floor with a scanner. A copilot combines their findings with telemetry to name the likely faulty asset, then drafts a prioritised work order with crew, parts and service-level target. The two demos below run in the browser on synthetic sites and data; production deployments are scoped to an operator’s own sites, inventory and monitoring feeds.

The demos use synthetic sites, telemetry and faults, and a built-in copilot rather than a live language model. Integration with an operator’s inventory, alarms and performance data is defined during scoping.

Use cases

  • Outdoor RAN cell-site operations
  • In-building 5G / DAS coverage and faults
  • Remote site inspection with drones and robots
  • NOC fault triage and field dispatch

Features

What it does

Capabilities are configured per deployment and agreed during scoping.

  • 013D twin of an outdoor cell site: monopole, sector antennas, radio units, cabinet and compound
  • 023D twin of an indoor 5G distributed antenna system (DAS) across office floors, head-end and parking
  • 03RF coverage heatmaps based on 3GPP propagation models (TR 38.901 UMi and InH)
  • 0415-minute RSRP, SINR and VSWR trends per sector or probe
  • 05Drone, rover and quadruped agents with first-person camera views
  • 06Fault injection and diagnosis, such as a cabinet door alarm, a fibre fault or PIM
  • 07Copilot that highlights the suspect asset and explains the evidence
  • 08Work orders with severity, SLA, suggested crew and parts, exportable as JSON

Benefits

What it means for your teams.

  • Operations teams see a fault on the asset it affects, not only as a counter on a dashboard.
  • Fewer wasted site visits: the twin narrows the likely cause before a crew is sent.
  • Field crews arrive with the right parts and a work order that explains the evidence.

In practice

What Physical AI Telecom Twins looks like day to day

An illustrative walkthrough of typical use, based on the product's features. Not a customer case study.

Illustrative scenario

Finding a hot radio with Physical AI Telecom Twins

A network operations team triaging a degraded 5G sector (illustrative, synthetic data).

09:10

Alarm on the twin

Sector B shows high VSWR and a hot radio unit, highlighted on the mast rather than only in a counter list.

How it works

From telemetry to work order

How the twin links network data, the physical site and field operations.

From telemetry to work order

How the twin links network data, the physical site and field operations.

Our approach

Step by step, with you.

Each stage ends with something you can review, so decisions stay visible and reversible.

  1. 01

    Model

    Build a 3D twin of the site from drawings, inventory or a phone or drone capture.

  2. 02

    Connect

    Attach radio coverage, alarms and 15-minute performance counters to the assets they describe.

  3. 03

    Diagnose

    Robots, drones and a copilot inspect the twin and point at the likely faulty asset.

  4. 04

    Dispatch

    Raise a work order with severity, SLA, crew and parts, ready for your ticketing system.

What you get

Deliverables

  • 3D twin of the agreed sites
  • RF coverage and telemetry overlays
  • Copilot runbooks for the agreed fault types
  • Work-order export to your ticketing system

FAQ

Questions we hear

Does the copilot use a large language model?

The public demos use built-in diagnosis tools. A deployment can add a language or vision model, including one hosted on your own servers.

Can it model our own sites?

Yes. Sites can be modelled from drawings and inventory, or captured with a phone or drone, then linked to your alarms and counters.

Is the data in the demos real?

No. The demo sites, telemetry and faults are synthetic. A deployment uses your own sites and data feeds.

Which radio technologies are covered?

The demos model 5G NR n78 outdoor and indoor. Other bands and technologies are scoped per engagement.

Collateral

Collateral

Product brochure

Ask us for the latest material on Physical AI Telecom Twins, and a specialist will send it along with answers to your questions.

Start a conversation

See Physical AI Telecom Twins in your context.

Tell us about your sites, users and systems, and we will walk you through a configuration that fits.