UnixonAI

Digital Twin & Simulation
Build virtual worlds to test, train, and validate your AI systems before real-world deployment.

What Is a Digital Twin?

Simulate environments, machines, or systems in high fidelity. Mirror the real world to predict performance, behavior, and risk.

Test AI logic, motion planning, and vision systems in digital simulations—accelerating training and minimizing field errors.

With IoT and sensor data, digital twins stay synchronized with the real world, enabling predictive insights and diagnostics.

We simulate robotics environments using ROS 2 and Gazebo, enabling fast iteration on control systems and perception.

Build 3D worlds with physical realism. Train vision models with synthetic data in real-time rendered environments.

Design traffic, weather, lighting, and sensor variations to stress-test AI behavior and safety before real-world deployment.

Drive through thousands of kilometers virtually. Validate edge cases, route handling, and traffic behaviors safely.

Simulate factory lines, monitor processes, and predict downtime—before physical intervention is needed.

Use simulations to model infrastructure, mobility, energy flows, and emergency responses—before the first brick is laid.

With UnixonAI’s simulation stack, your AI can train smarter, safer, and faster—long before it touches the real world.