Recreate real industrial environments to design and validate before you build
NVIDIA Omniverse™ is a platform for building industrial digital twins and Physical AI simulation environments. By recreating real spaces and physical conditions virtually, you can validate designs and operating methods before applying them on site.
NVIDIA Omniverse™ key capabilities
Industrial digital twins
Physics-based simulation
Real-time rendering
Physical AI pre-validation
WHAT IS NVIDIA Omniverse™
Design and test first in a virtual environment tied to reality
Connect 3D data from multiple systems into a single digital twin, then simulate physical conditions and behavior before anything is built.
Reviewing directly in the real environment
- Time and cost burdenChanging and testing equipment takes considerable time and money
- Limited repetitionHard to validate many conditions and scenarios repeatedly
- Safety riskLimited ability to validate hazardous situations
Reviewing first in a virtual environment
- Fast design validationValidate designs through simulation before construction
- Repeatable simulationChange conditions and re-run a wide range of scenarios
- Safe pre-validationSimulate hazardous or extreme situations safely
CORE TECHNOLOGIES
The core technologies behind digital twins that mirror reality
NVIDIA Omniverse™ connects 3D data from different sources and provides the foundations for lifelike visualization together with physics and sensor simulation.
Open USD
Connects 3D data from different design tools and systems into a single virtual environment
RTX rendering
Renders lifelike scenes in real time by reproducing light, materials, reflections and shadows
Physics simulation
Tests how equipment and objects behave under real-world physics such as gravity, collision and motion
Sensor simulation
Recreates and validates the sensor environments Physical AI needs, including cameras and LiDAR
APPLICATION AREAS
Key application areas
Industrial facility digital twins
Recreate real facilities as digital twins to simulate design and operations
Synthetic data generation
Generate the varied synthetic data needed to train Physical AI models
Robot simulation
Simulate and test robot motion and tasks in a virtual environment
Autonomous driving simulation
Simulate autonomous driving systems across varied environments and sensor conditions
Robot learning
Train robots in a virtual environment and validate them before real-world deployment
WHY XIILAB
A technology partner with top-tier NVIDIA partnership and proven Omniverse expertise
Xiilab is a Physical AI specialist holding both NVIDIA Elite Partner status and Omniverse Competency. Drawing on NVIDIA technical expertise, industrial digital twin project experience and X-GEN synthetic data technology, we work with you to define how Omniverse fits your goals.
NVIDIA Elite Partner
As a top-tier NVIDIA partner, we hold proven expertise in NVIDIA technology and AI infrastructure.
Omniverse Competency
NVIDIA has recognized our expertise in Omniverse-based digital twins and simulation.
Industrial digital twin experience
We have delivered projects that recreate real industrial environments virtually and validate design and operating methods.
X-GEN synthetic data technology
By pairing Omniverse-based virtual environments with X-GEN, we can generate the synthetic data needed for AI training and validation.
Check our frequently asked questions
VIEW ALLCan we use the 3D data we already have?
Yes. Existing 3D data or site data can be used to build the virtual environment. Which data can be used and how it is built depend on the form of your data and the purpose; where needed, we can construct a 3D virtual environment closely resembling the real site for simulation and AI training.
We want a digital twin built for our industry and site.
Xiilab proposes digital twin approaches suited to a range of industries and purposes, including manufacturing, construction, and defense. The simulation environment and features can be configured to match your purpose and site conditions.
How does X-GEN use NVIDIA Omniverse?
X-GEN generates synthetic data using virtual environments and simulation technology built on NVIDIA Omniverse. It recreates real environments in virtual space and generates data under varied conditions for AI training and validation.
Can we validate in a virtual environment before building the real site?
With a digital twin, you can review a range of conditions and scenarios in a virtual environment before building. Depending on your purpose, we can set up simulation, virtual validation, or AI training environments.
We would like advice on how to apply a digital twin before adopting one.
Once we confirm your goals and site environment, we will outline the scope of work required and how it can be applied.