ThinkAutomation
Create automations that work for your business. ThinkAutomation gives you an open-ended studio that allows you to create any automated workflow you need. All this without any volume restrictions and without having to pay per process, license, or 'robot.
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Windocks
Windocks provides on-demand Oracle, SQL Server, as well as other databases that can be customized for Dev, Test, Reporting, ML, DevOps, and DevOps. Windocks database orchestration allows for code-free end to end automated delivery. This includes masking, synthetic data, Git operations and access controls, as well as secrets management. Databases can be delivered to conventional instances, Kubernetes or Docker containers.
Windocks can be installed on standard Linux or Windows servers in minutes. It can also run on any public cloud infrastructure or on-premise infrastructure. One VM can host up 50 concurrent database environments. When combined with Docker containers, enterprises often see a 5:1 reduction of lower-level database VMs.
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Gazebo
Gazebo serves as an open-source simulator for robotics, offering a high level of fidelity in physics, visual rendering, and sensor modeling, which is essential for the development and testing of robotic applications. It accommodates various physics engines, such as ODE, Bullet, and Simbody, which facilitate precise dynamics simulation. The platform boasts sophisticated 3D graphics capabilities through rendering engines like OGRE v2, producing immersive environments enriched with realistic lighting, shadows, and textures. Gazebo comes equipped with a diverse set of sensors, including laser range finders, 2D and 3D cameras, IMUs, and GPS, along with features to emulate sensor noise. Users have the opportunity to create custom plugins to enhance robot, sensor, and environmental control and can engage with the simulations through a plugin-based graphical interface powered by the Gazebo GUI. Additionally, Gazebo provides a library of various robot models, such as the PR2, Pioneer2 DX, iRobot Create, and TurtleBot, while also allowing users to design their own models utilizing the SDF format. This flexibility and range of features make Gazebo a vital tool for researchers and developers in the field of robotics.
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Symage
Symage is an advanced synthetic data platform that creates customized, photorealistic image datasets complete with automated pixel-perfect labeling, aimed at enhancing the training and refinement of AI and computer vision models; by utilizing physics-based rendering and simulation techniques instead of generative AI, it generates high-quality synthetic images that accurately replicate real-world scenarios while accommodating a wide range of conditions, lighting variations, camera perspectives, object movements, and edge cases with meticulous control, thereby reducing data bias, minimizing the need for manual labeling, and significantly decreasing data preparation time by as much as 90%. This platform is strategically designed to equip teams with the precise data needed for model training, eliminating the dependency on limited real-world datasets, allowing users to customize environments and parameters to suit specific applications, thus ensuring that the datasets are not only balanced and scalable but also meticulously labeled down to the pixel level. With its foundation rooted in extensive expertise across robotics, AI, machine learning, and simulation, Symage provides a vital solution to address data scarcity issues while enhancing the accuracy of AI models, making it an invaluable tool for developers and researchers alike. By leveraging the capabilities of Symage, organizations can accelerate their AI development processes and achieve greater efficiencies in their projects.
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