Jama Connect®, a product development platform, uniquely creates Living Requirements™. This digital thread is created through siloed, test, and risk activities to provide end to end compliance, risk mitigation, process improvement, and compliance. Companies creating complex products, systems, and software can now define, align, and execute on what they need. This reduces the time and effort required to prove compliance and saves on rework. You can be sure of success by choosing a solution that is easy-to-use, flexible, and offers support and services that are adoption-oriented.
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Epicor Connected Process Control (CPC) is a flexible no-code/low-code MES and manufacturing operations platform that helps manufacturers standardize production and assembly processes, improve quality, and increase visibility across the shop floor.
Using digital work instructions with multimedia content, manufacturers can guide operators through critical tasks, enforce process control, and improve consistency across products, workstations, and production lines.
CPC connects equipment and devices to collect production and quality data in real time, helping manufacturers identify issues faster, reduce waste, and support continuous improvement.
CPC provides product traceability with a complete historical record of each product's build and inspection history. Manufacturers use CPC to support assembly verification, error proofing, quality inspections, operator guidance, and other connected manufacturing initiatives.
For manufacturers with complex product variations, CPC can dynamically present the correct work instructions based on the product or configuration being built, helping ensure products are assembled accurately and consistently.
Available on-premises or in the cloud, CPC scales from a single work cell to enterprise-wide deployments.
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TheLoupe
TheLoupe® jewelry appraisal software stands out as an exceptionally powerful resource for your appraisal enterprise. Tailored for both novices and seasoned appraisers, our online platform facilitates an effortless learning process. With TheLoupe®, users can navigate through comprehensive appraisals with remarkable accuracy and efficiency, simplifying the tasks of updating and archiving files. This software empowers you to generate consistent and polished appraisals that reflect professionalism. Features include the ability to incorporate a personalized logo, user-friendly templates, and real-time gem-weight calculations. Additionally, TheLoupe® incorporates digital imaging, online plotting capabilities, instantaneous updates, and integrated customer follow-ups, ensuring a streamlined experience for both appraisers and their clients. Ultimately, TheLoupe® not only enhances workflow but also elevates the quality of appraisals produced.
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CZ CELLxGENE Discover
Choose two tailored cell groups by utilizing metadata to uncover their most significantly differentially expressed genes. Utilize the extensive collection of millions of cells from the integrated CZ CELLxGENE corpus for in-depth analysis. Conduct interactive examinations of datasets to investigate how gene expression patterns are influenced by spatial, environmental, and genetic variables through an intuitive no-code user interface. Gain insights into existing datasets or leverage them as a foundation to discover new cell subtypes and states. Census offers the capability to access any customized segment of standardized cell data available within CZ CELLxGENE, with opportunities for exploration in both R and Python. Delve into an interactive encyclopedia containing over 700 cell types that includes comprehensive definitions, marker genes, lineage information, and associated datasets all in one location. Additionally, you can browse and obtain hundreds of standardized data collections along with more than 1,000 datasets that detail the functionality of both healthy mouse and human tissues, enriching your research and understanding of cellular biology. This resource provides a valuable tool for researchers aiming to enhance their exploration of cellular dynamics and gene expression.
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