- End-to-end ownership
- Data people act on
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QDT-IoTLAB
IoT Implementation
Connect sensors, gateways and enterprise systems into one operational picture.
View detailsTelecom
Interactive 3D twins of cell sites and in-building networks, with a copilot that finds the fault and drafts the work order.
Overview
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.
Live demos
Both run on synthetic sites and data. Best on a desktop or laptop; the first load downloads the 3D site models.
Features
Capabilities are configured per deployment and agreed during scoping.
Benefits
In practice
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
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.
Press Play the flow, or hover and click any step to see what it does.
Our approach
Each stage ends with something you can review, so decisions stay visible and reversible.
Build a 3D twin of the site from drawings, inventory or a phone or drone capture.
Attach radio coverage, alarms and 15-minute performance counters to the assets they describe.
Robots, drones and a copilot inspect the twin and point at the likely faulty asset.
Raise a work order with severity, SLA, crew and parts, ready for your ticketing system.
What you get
FAQ
The public demos use built-in diagnosis tools. A deployment can add a language or vision model, including one hosted on your own servers.
Yes. Sites can be modelled from drawings and inventory, or captured with a phone or drone, then linked to your alarms and counters.
No. The demo sites, telemetry and faults are synthetic. A deployment uses your own sites and data feeds.
The demos model 5G NR n78 outdoor and indoor. Other bands and technologies are scoped per engagement.
Collateral
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
Tell us about your sites, users and systems, and we will walk you through a configuration that fits.