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pSeven Enterprise runs in a predefined and well-controlled IT environment on either private or public cloud, and can be accessed from any browser or device. As a server-side web application, it allows running many resource-consuming studies simultaneously with a built-in resource manager, and running workflows offline without interruption. You can monitor, manage running process and analyze results anytime from anywhere.
pSeven Enterprise is a multiuser system with simultaneous multi-access, co-authoring and version control of the workflow in the cloud or on premises. Shared workspaces are designed for a department or a team to share and edit workflows, results and files depending on the user roles, just as like using Google Drive.
AppsHub is a corporate collection of workflow-powered web applications with access and version control, where M&T experts can publish run-ready workflows, workflow-powered web services and web apps for the domain engineers, suppliers or teams to deploy. AppsHub automates engineering tasks and democratizes design exploration and predictive modelling technology of pSeven.
pSeven Enterprise features three API levels to ensure easy integration with external ecosystems and extended functionality with embedding user algorithms:
pSeven allows efficiently exploring model behavior with a wide range of techniques for Design of Experiments (DoE) and solving single- and multi-objective Design Optimization problems with both fast to evaluate analytical models and computationally expensive simulations. With pSeven you can also assess the influence of uncertain parameters of a product on its' characteristics with Uncertainty Quantification (UQ) capabilities.
By creating a predictive model from existing test, experimental and/or simulation data pSeven allows to predict response values for new designs, accelerate complex simulations by many orders of magnitude and capture essential knowledge from vast amounts of data. Such models are also often called approximation models, response surface models (RSM), surrogate models, metamodels etc.
SmartSelection is an approach in pSeven that automatically chooses the most efficient Design Exploration or Predictive Modeling technique for a given type of problem and data, hides techniques' internal complexity and opens expert level mathematics even for non-math experts.