Guardiaris officially launched GuardVERSE at SIDEC 2026, introducing a platform designed to support the development and testing of AI-driven technologies and autonomous systems. The platform brings together two complementary capabilities: synthetic dataset generation and simulation-based testing and evaluation.
Synthetic Data Generation GuardVERSE enables developers to generate synthetic datasets using detailed 3D assets, virtual sensors and configurable environments. Data can be created from different angles and under varying weather, lighting and operational conditions, using sensor types such as LiDAR, radar, RGB, infra red, thermal and depth sensors.
The generated datasets include automatically created annotations and metadata, such as bounding boxes, object recognition, semantic segmentation and multi-object tracking. This makes it possible to create diverse training data even for objects with limited real-world imagery, while reducing the need for manual data labelling.
Simulation-Based Testing in a Digital Sandbox The platform also provides a controlled virtual environment for testing and evaluating AI models and autonomous algorithms. External computing platforms, such as those used in unmanned aerial and ground vehicles, can be connected directly to the simulation and receive real-time virtual sensor data.
The connected systems process the incoming information and execute decisions within the simulated environment. This allows engineers to monitor and evaluate their navigation, decision-making and responses across different operational scenarios, including edge cases that are difficult to recreate in real-world conditions.
Supporting the Development Process By combining synthetic data generation with simulation-based testing, GuardVERSE supports different stages of AI and autonomous system development. Synthetic datasets can be used to train models, while the simulation environment provides a controlled setting for testing and refinement. These capabilities complement field testing and validation using real-world data, rather than replacing them.
Developed by Guardiaris, GuardVERSE brings data generation and simulation-based evaluation together in one virtual environment, supporting the development of AI models and autonomous systems for demanding operational applications.
