Industrial Digital Twin
From process validation
to infrastructure, training and PoC
We build digital twin environments suited to the industrial site, on NVIDIA Omniverse libraries and OpenUSD.
Scope
What a process digital twin can validate
01
Space and layout
Equipment placement, clearances and the delivery route for
large machinery are settled at the drawing stage.
Structural interference and rework risk identified before construction
02
Motion and flow
Robot fleet conveyance routes and operator movement are simulated
against assumed volumes and operating conditions.
Robot reach · equipment interference · hazard zones
03
Data and operations
Sensor and operational data are connected so the state of
running equipment is reflected in the digital twin.
Operational visualisation and analysis · synthetic data generation
By industry
Applications by industry
Particularly effective where line downtime is costly and equipment layouts are complex.
01
Semiconductor fab
Compare multiple layout options against
cleanroom layout and equipment density.
OHT conveyance routes · stocker placement · large equipment delivery paths
02
Automotive production line
Arrange process sequence and work zones and
assess the effect on takt time.
Equipment relocation and robot cell interference during model changeover
03
Display · secondary battery
Applies to production lines with high equipment density
and automated conveyance structures.
Layout · conveyance flow · robot motion validated in advance
Infrastructure
We design the hardware too
From GPU workstations through NVIDIA OVX systems to data centre network fabric and shared storage — we design the infrastructure that digital twin and Physical AI workloads require.
01
GPU workstations
GPU, CPU, memory and storage configured to the scale of
the digital twin and its simulation workload.
Development and validation environments
02
NVIDIA OVX systems
Accelerates Omniverse workloads — OpenUSD-based industrial digital twins,
robotics simulation and more — at data centre scale.
Data centre scale acceleration
03
Network fabric · shared storage
High-speed network fabric and shared storage for large OpenUSD and 3D datasets,
sized for OVX expansion and multi-user environments.
Scaling · collaborative environments
Training
We run the training ourselves
We deliver Omniverse and NVIDIA AI hands-on courses directly, supporting your internal team in building the capability to operate what has been deployed.
01
Omniverse · NVIDIA AI hands-on course
From OpenUSD, Omniverse Kit and Isaac Sim through to Omniverse applications that bring in NVIDIA AI technologies such as NeMo — structured into stages that match each team’s level and goals.
Staged curriculum by level
02
Training facility
Delivered hands-on in our own training room
equipped with GPU workstations.
In-house training facility
03
On-site support
Support across the full journey — from technical review
and PoC through build and operations.
PoC · build · operations
Considering industrial digital twins?
Tell us what you need — configuration, pricing, or a technical review. The relevant division will respond directly.