Services
Services
We believe, by replicating diverse real-world scenarios with edge-cases and challenges, simulation provides a safe and efficient platform for training and refining AI vision systems, leading to unprecedented levels of accuracy and reliability
Dynamic simulation environments
We offer a diverse array of environmental scenarios, meticulously designed to challenge and assess your AI vision system's performance across various real-world conditions. With our comprehensive testing solutions, you can ensure that your vision system is robust, reliable, and ready for the future
Diverse sensor simulation
We replicate a wide range of camera models, from traditional optics to highly specialized vision sensors, in a virtual environment such as LIDAR, IR, RADAR, Depth etc. This approach allows us to generate an extensive array of sensor data, facilitating robust testing, calibration, and training for various applications, from autonomous vehicles to robotics and beyond
High precision synthetic data generation
We specialize in the generation of high-quality datasets derived from simulation environments to meticulously train AI algorithms for AI vision. Our approach ensures that we create comprehensive, diverse, and precisely annotated datasets for any objects in demand, empowering AI systems to excel in the most demanding real-world scenarios
Vision Perception Network
We're redefining the landscape of AI vision with our all-in-one standalone software. Our solution is not just powerful; it's a game-changer. It's the result of extensive training on large-scale synthetic datasets, ensuring that your AI vision system is armed with the highest level of precision and adaptability.
Robotic simulation platform
​Generating essential training data for warehouse robots, enabling them to excel in object detection and intelligent object approach strategies through reinforcement learning. In the dynamic world of logistics and automation, our custom-crafted datasets provide the crucial foundation for these robots to recognize a myriad of objects, understand their spatial context, and learn how to approach them efficiently