SPEC Innovations offers a premier model-based systems engineering solution aimed at helping your team accelerate time-to-market, lower expenses, and reduce risks, even when dealing with the most intricate systems. This solution is available in both cloud-based and on-premise formats, featuring an easy-to-use graphical interface that can be accessed via any current web browser.
Innoslate provides an extensive range of lifecycle capabilities, which include:
• Management of Requirements
• Document Control
• System Modeling
• Simulation of Discrete Events
• Monte Carlo Analysis
• Creation of DoDAF Models and Views
• Management of Databases
• Test Management equipped with comprehensive reports, status updates, outcomes, and additional features
• Real-Time Collaboration
Additionally, it encompasses numerous other functionalities to enhance workflow efficiency.
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AnalyticsCreator helps Microsoft data teams turn governed design into deployable data solutions without introducing a proprietary runtime layer.
Teams use AnalyticsCreator to define warehouse structures, transformation logic, historisation rules, relationships and dependencies in a central model. From that model, the application can generate native implementation assets for technologies such as SQL Server, SSIS, Azure Data Factory, Microsoft Fabric and Power BI.
The approach is designed for organisations that want to standardise how data warehouses and data products are engineered while keeping full control of the resulting code and project artefacts. Generated outputs can be integrated into existing Git, Azure DevOps and CI/CD workflows for versioning, review and controlled deployment across environments.
AnalyticsCreator supports dimensional, 3NF and hybrid modelling as well as common engineering patterns including delta loading, Slowly Changing Dimensions, snapshots and historisation. Documentation, lineage and dependency information are maintained alongside the project design, making it easier to assess the impact of proposed changes and keep implementation aligned with the underlying model.
The AnalyticsCreator Governed Control Model provides the foundation for this process by keeping business meaning, technical structures and implementation logic connected. Design Intelligence builds on that context by making governed project metadata, lineage, dependencies and design rules available to authorised AI tools and agents.
Typical use cases include modernising SQL Server and SSIS estates, building Microsoft Fabric solutions, standardising Power BI delivery and creating repeatable data warehouse and data product engineering processes.
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RT-LAB
OPAL's RT-LAB is a real-time simulation platform that merges high performance with an improved user interface. This program is seamlessly integrated with MATLAB/Simulink®, enabling intricate model-based designs to effectively engage with real-world scenarios. It facilitates sophisticated real-time simulations across various fields, including aerospace, power electronics, and power systems.
Nearly two decades ago, RT-LAB was initially utilized in the Canada Arm project for the Canadian Space Agency. Since then, it has transformed systems engineering across multiple domains, including space, terrestrial applications, and maritime environments. With RT-LAB, engineers and researchers can rapidly create innovative prototypes while conducting comprehensive testing essential for advancing new technologies. Furthermore, its versatility ensures that it remains a vital tool for tackling the challenges of modern engineering.
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Simulink
Utilize Simulink to develop and test your system before transitioning to real hardware, giving you the chance to delve into and implement creative designs that might often be overlooked, all without needing to write C, C++, or HDL code. By creating models for both the system under evaluation and the physical plant, you can explore a wider range of design possibilities. Your entire team can take advantage of a cohesive multi-domain platform that simulates how all components of the system interact with one another. Additionally, you can compile and distribute your simulation outcomes with colleagues, suppliers, and clients, facilitating collaborative insights. This strategy significantly reduces the risk of expensive prototypes by enabling experimentation with scenarios that could be perceived as too uncertain or impractical. Incorporate hardware-in-the-loop testing and rapid prototyping to verify the success of your design. This methodology allows for traceability from the early stages of requirement gathering through to design and code generation. Instead of manually producing countless lines of code, you can automatically generate high-quality C and HDL code that reflects your original Simulink model. Ultimately, deploy this code onto your embedded processor or FPGA/ASIC for flawless integration and functionality. This thorough process not only simplifies development but also markedly improves efficiency across the entire project timeline, paving the way for enhanced innovation. Furthermore, it allows teams to quickly iterate on designs, leading to quicker time-to-market for new products.
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