Satim
Satim provides a world-class and unique AI-based software solution for object detection, classification, and identification using Synthetic Aperture Radar (SAR) satellite imagery. Satim has built a highly accurate simulator for generating synthetic SAR signatures. The simulator allows us to simulate a SAR signature of any object and any SAR system. Thanks to the simulator, we can add new object types to train our AI model and to be classified with 90% accuracy within days. Thanks to our proprietary SAR data simulator, the models can be rapidly expanded to detect and classify new objects, ensuring adaptability and flexibility that match the challenges and evolving needs in the military, government, and commercial sectors. We collaborate with the world's top Synthetic Aperture Radar (SAR) sensor providers, bringing together pioneering technology and unparalleled expertise. Our wide network of global partners is laser-focused on advancing the space and defense industry.
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20-sim
20-sim is a modeling and simulation software package for mechatronic systems. With 20-sim you can enter models graphically, similar to drawing an engineering scheme. With these models, you can simulate and analyze the behavior of multi-domain dynamic systems and create control systems. You can even generate C-code and run this code on hardware for rapid prototyping and HIL-simulation. 20-sim provides you with features that allow you to create models very quickly and intuitively. You can create models using equations, block diagrams, physics blocks and bond graphs. Various features help you to build your models, simulate them and analyze their performance. Models are built in the 20-sim editor. This editor contains a large model library with building blocks to help you to construct models. The model library contains many components such as block diagrams and bond graphs.
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Lucky Robots
Lucky Robots is a robotics-focused simulation platform that lets teams train, test, and refine AI models for robots entirely in high-fidelity virtual environments that mimic real-world physics, sensors, and interactions, enabling massive generation of synthetic training data and rapid iteration without physical robots or costly lab setups. It uses hyper-realistic scenes (e.g., kitchens, terrain) built on advanced simulation tech to create varied edge cases, generate millions of labeled episodes for scalable model learning, and accelerate development while reducing cost and safety risk. It supports natural language control in simulated scenarios, lets users bring their own robot models or choose from commercially available ones, and includes tools for collaboration, environment sharing, and training workflows via LuckyHub, helping developers push models toward real-world performance more efficiently.
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SKY ENGINE AI
SKY ENGINE AI is a fully managed 3D Generative AI platform that transforms how enterprises build Vision AI by producing high-quality synthetic data at scale. It replaces difficult, expensive real-world data collection with physics-accurate simulation, multispectrum rendering, and automated ground-truth generation. The platform integrates a synthetic data engine, domain adaptation tools, sensor simulators, and deep learning pipelines into a single environment. Teams can test hypotheses, capture rare edge cases, and iterate datasets rapidly using advanced randomization, GAN post-processing, and 3D generative blueprints. With GPU-integrated development tools, distributed rendering, and full cloud resource management, SKY ENGINE AI eliminates workflow complexity and accelerates AI development. The result is faster model training, significantly lower costs, and highly reliable Vision AI across industries.
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