Epicor Kinetic
Epicor Kinetic is a global, cloud-focused cognitive ERP solution built for manufacturers, driving profitability through real-time insights, people-centric AI, and seamless collaboration. Positioned at the core of your business applications, Kinetic leverages artificial intelligence to extract maximum value from your enterprise data, processes, and decision-making information. Purposely designed with deep industry expertise, it offers end-to-end capabilities for discrete, make-to-order, and mixed-mode manufacturers in the small and mid-market space.
Kinetic supports the needs of leading manufacturers across multiple industries, including Industrial Machinery, Fabricated Metals, Electronics and High Tech, Plastics and Rubber, Automotive, Aerospace and Defense, Medical Device, Consumer Products, Furniture and Fixtures, Measuring and Controlling Devices, and more. Embrace future-ready business, digital transformation, and flexible deployment with this singular, AI-powered ERP solution.
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Windocks
Windocks is a leader in cloud native database DevOps, recognized by Gartner as a Cool Vendor, and as an innovator by Bloor research in Test Data Management. Novartis, DriveTime, American Family Insurance, and other enterprises rely on Windocks for on-demand database environments for development, testing, and DevOps. Windocks software is easily downloaded for evaluation on standard Linux and Windows servers, for use on-premises or cloud, and for data delivery of SQL Server, Oracle, PostgreSQL, and MySQL to Docker containers or conventional database instances.
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.
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.
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Symage
Symage is a synthetic data platform that generates custom, photorealistic image datasets with automated pixel-perfect labeling to support training and improving AI and computer vision models; using physics-based rendering and simulation rather than generative AI, it produces high-fidelity synthetic images that mirror real-world conditions and handle diverse scenarios, lighting, camera angles, object motion, and edge cases with controlled precision, which helps eliminate data bias, reduce manual labeling, and dramatically cut data preparation time by up to 90%. Designed to give teams the right data for model training rather than relying on limited real datasets, Symage lets users tailor environments and variables to match specific use cases, ensuring datasets are balanced, scalable, and accurately labeled at every pixel. It is built on decades of expertise in robotics, AI, machine learning, and simulation, offering a way to overcome data scarcity and boost model accuracy.
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