Azore is software for computational fluid dynamics. It analyzes fluid flow and heat transfers. CFD allows engineers and scientists to analyze a wide range of fluid mechanics problems, thermal and chemical problems numerically using a computer. Azore can simulate a wide range of fluid dynamics situations, including air, liquids, gases, and particulate-laden flow. Azore is commonly used to model the flow of liquids through a piping or evaluate water velocity profiles around submerged items. Azore can also analyze the flow of gases or air, such as simulating ambient air velocity profiles as they pass around buildings, or investigating the flow, heat transfer, and mechanical equipment inside a room. Azore CFD is able to simulate virtually any incompressible fluid flow model. This includes problems involving conjugate heat transfer, species transport, and steady-state or transient fluid flows.
Learn more
FAMCare makes case management easier and helps improve the outcomes for your clients. FAMCare automates casework with flexible workflow tools and queued to-do lists, so nobody falls through the cracks. For reporting and data analysis, powerful pivot table data reporting makes looking at data easy and fun and makes quarterly and annual reporting simple. Includes modules for workflow, new form creation, billing, portals and much more.
Learn more
Simcenter Hyperview
Simcenter Hyperview serves as an advanced CAE post-processing tool that offers detailed and interactive visualization capabilities for analyzing FEA and multibody simulation data. This software enables engineers to effectively view and interpret FEA results in a three-dimensional space while also managing extensive files, generating animations, and simplifying the communication of simulation outcomes. Tailored for specialized simulation teams dealing with intricate models and substantial result datasets, Simcenter Hyperview creates an interactive atmosphere where users can examine simulation dynamics, assess model responses, and present essential engineering information in a clear manner. Its adaptable layout allows for multi-page and multi-window operations, empowering users to delve deeper into models while efficiently organizing various views, results, and analytical windows. Designed with high-fidelity post-processing in mind, this tool not only facilitates visual exploration of results but also aids in performance evaluation, ultimately enhancing the communication of insights across engineering groups. As a result, Simcenter Hyperview plays a vital role in bridging the gap between complex simulation data and actionable engineering decisions.
Learn more
Rendered.ai
Address the obstacles faced in gathering data for the training of machine learning and AI systems by utilizing Rendered.ai, a platform-as-a-service tailored for data scientists, engineers, and developers. This innovative tool facilitates the creation of synthetic datasets specifically designed for ML and AI training and validation purposes. Users can experiment with various sensor models, scene content, and post-processing effects to enhance their projects. Additionally, it allows for the characterization and cataloging of both real and synthetic datasets. Data can be easily downloaded or transferred to personal cloud repositories for further processing and training. By harnessing the power of synthetic data, users can drive innovation and boost productivity. Rendered.ai also enables the construction of custom pipelines that accommodate a variety of sensors and computer vision inputs. With free, customizable Python sample code available, users can quickly start modeling SAR, RGB satellite imagery, and other sensor types. The platform encourages experimentation and iteration through flexible licensing, permitting nearly unlimited content generation. Furthermore, users can rapidly create labeled content within a high-performance computing environment that is hosted. To streamline collaboration, Rendered.ai offers a no-code configuration experience, fostering teamwork between data scientists and data engineers. This comprehensive approach ensures that teams have the tools they need to effectively manage and utilize data in their projects.
Learn more
