Propel
Propel is a modern, AI-powered product management platform built for today’s manufacturers. It brings Product Lifecycle Management (PLM), Quality Management System (QMS), Product Information Management (PIM), and robust supplier management together in one cloud-based solution, giving teams a single, always-accurate view of their products across the entire lifecycle.
With AI embedded directly into the platform through Propel One, teams can automate routine tasks, surface insights faster, and make more confident decisions using real product and quality data. AI helps reduce manual effort, identify risks earlier, and keep work moving across change management, quality events, and product operations.
Propel replaces spreadsheets and disconnected systems with a governed digital product record that spans engineering, quality, operations, supply chain, and product teams. Built-in workflows standardize change control, streamline quality processes, and support compliance without slowing teams down. Every update and approval is tracked with full traceability, helping manufacturers reduce errors, shorten cycle times, and improve cross-functional collaboration.
Trusted by medical device, high tech, and industrial manufacturers, Propel is designed for complex products and regulated environments. The platform scales easily as products, teams, and requirements grow, providing a strong foundation for long-term innovation.
Propel delivers enterprise-grade security and reliability through its architecture on the Salesforce platform, including robust data protection and access controls. Customers do not need to be Salesforce users to benefit from Propel’s security and capabilities.
Propel has been recognized by Deloitte as a fast-growing technology company and named to the Inc. 5000 list of fastest-growing private companies, reflecting strong customer adoption and momentum helping manufacturers modernize how they build, manage, and deliver products.
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Windocks
Windocks offers customizable, on-demand access to databases like Oracle and SQL Server, tailored for various purposes such as Development, Testing, Reporting, Machine Learning, and DevOps. Their database orchestration facilitates a seamless, code-free automated delivery process that encompasses features like data masking, synthetic data generation, Git operations, access controls, and secrets management. Users can deploy databases to traditional instances, Kubernetes, or Docker containers, enhancing flexibility and scalability.
Installation of Windocks can be accomplished on standard Linux or Windows servers in just a few minutes, and it is compatible with any public cloud platform or on-premise system. One virtual machine can support as many as 50 simultaneous database environments, and when integrated with Docker containers, enterprises frequently experience a notable 5:1 decrease in the number of lower-level database VMs required. This efficiency not only optimizes resource usage but also accelerates development and testing cycles significantly.
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AppFactor
AppFactor significantly reduces the costs and labor typically required for traditional application modernization projects. Once modernization is complete, our platform allows teams to deploy, oversee, and maintain existing applications more effectively and at lower costs, which enhances engineering productivity, modernizes critical business applications, encourages innovation, and helps maintain a competitive edge. Accelerate the process of converting outdated physical and virtual server applications into cloud-native formats, setting the stage for a progressive transformation of architecture, deployment strategies, and enhancements. Intelligently preserve runtime and inter-process relationships from diverse server hosts as they are transitioned into cloud-native environments. Expedite the incorporation of legacy applications into CI/CD pipelines, simplifying the overall development process. Remove outdated physical and virtual infrastructures along with the complexities of managing operating systems. Additionally, facilitate cloud migration by implementing a gradual modernization strategy that embraces more sophisticated cloud solutions, like Kubernetes platforms or PaaS, to ensure a seamless transition into the future. This methodical approach not only improves operational efficiency but also cultivates an atmosphere of ongoing enhancement and creativity within the organization, ultimately positioning it for sustained success in an ever-evolving technological landscape.
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Delphix
Delphix stands out as a frontrunner in the realm of DataOps. It offers an advanced data platform designed to hasten digital transformation for prominent businesses globally. The Delphix DataOps Platform is compatible with various systems, including mainframes, Oracle databases, enterprise resource planning applications, and Kubernetes containers. By facilitating a broad spectrum of data operations, Delphix fosters modern continuous integration and continuous delivery workflows. Additionally, it streamlines data compliance with privacy laws such as GDPR, CCPA, and the New York Privacy Act. Furthermore, Delphix plays a crucial role in helping organizations synchronize data across private and public clouds, thereby expediting cloud migration processes and enhancing customer experience transformations. This capability not only aids in adopting innovative AI technologies but also positions companies to effectively respond to the ever-evolving digital landscape.
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