Innoslate
SPEC Innovations’ leading model-based systems engineering solution is designed to help your team minimize time-to-market, reduce costs, and mitigate risks, even with the most complex systems. Available as both a cloud-based and on-premise application, it offers an intuitive graphical user interface accessible through any modern web browser.
Innoslate's comprehensive lifecycle capabilities include:
• Requirements Management
• Document Management
• System Modeling
• Discrete Event Simulation
• Monte Carlo Simulation
• DoDAF Models and Views
• Database Management
• Test Management with detailed reports, status updates, results, and more
• Real-Time Collaboration
And much more.
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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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SKY ENGINE AI
SKY ENGINE AI provides a unified Synthetic Data Cloud designed to power next-generation Vision AI training with photorealistic 3D generative scenes. Its engine simulates multispectral environments—including visible light, thermal, NIR, and UWB—while producing detailed semantic masks, bounding boxes, depth maps, and metadata. The platform features domain processors, GAN-based adaptation, and domain-gap inspection tools to ensure synthetic datasets closely match real-world distributions. Data scientists work efficiently through an integrated coding environment with deep PyTorch/TensorFlow integration and seamless MLOps compatibility. For large-scale production, SKY ENGINE AI offers distributed rendering clusters, cloud instance orchestration, automated randomization, and reusable 3D scene blueprints for automotive, robotics, security, agriculture, and manufacturing. Users can run continuous data iteration cycles to cover edge cases, detect model blind spots, and refine training sets in minutes instead of months. With support for CGI standards, physics-based shaders, and multimodal sensor simulation, the platform enables highly customizable Vision AI pipelines. This end-to-end approach reduces operational costs, accelerates development, and delivers consistently high-performance models.
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MORAI
MORAI presents an innovative digital twin simulation platform designed to expedite the development and evaluation of autonomous vehicles, urban air mobility solutions, and maritime autonomous surface vessels. This platform utilizes high-definition mapping and an advanced physics engine to seamlessly connect real-world applications with simulated testing environments, ensuring all critical components for validating autonomous systems are included, such as those for self-driving cars, drones, and unmanned marine vehicles. It features a comprehensive array of sensor models, which encompass cameras, LiDAR, GPS, radar, and Inertial Measurement Units (IMUs). Users have the capability to create intricate and varied testing scenarios derived from actual data, including those based on logs and edge cases. Furthermore, MORAI's cloud-based simulation framework enables safe, efficient, and scalable testing processes, allowing multiple simulations to operate simultaneously while assessing various scenarios in parallel. This robust infrastructure not only enhances the reliability of testing but also significantly reduces the time and costs associated with the development of autonomous technologies.
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