What we include in our immersiVERSE studio
Developing safe, reliable, and high-performance AI systems for automotive and robotics requires more than traditional training pipelines. Our solution introduces a closed-loop simulation, validation, and learning framework that continuously evaluates AI models against real-world KPIs, retrains them when needed, and deploys only when performance standards are met.
Physics-Based Digital Twins
We create high-fidelity digital twins of vehicles, robots, sensors and environments by modelling real-world physics, dynamics, sensors, and actuators. This enables realistic behavior under diverse operating conditions.
Scenario & Environment Modeling
We generate structured and unstructured scenarios, including edge cases, environmental variations, and human interactions—allowing safe, repeatable, and scalable testing.
Synthetic data and AI Model Integration
Our toolchain supports seamless integration of perception, planning, control, and learning models, enabling rapid validation of new algorithms and model updates.
XR Teleoperation and Dexterous Manipulation
We build immersive XR teleoperation systems that enable operators to control robots using natural hand and body interactions remotely. By combining virtual reality, motion tracking, and real-time robot simulation, we create intuitive interfaces for controlling robotic platforms, manipulating objects, and performing complex tasks in challenging or remote environments. Our systems bridge the physical and virtual worlds, enabling safe, responsive, and human-centric robot operation.