pSeven
pSeven is a desktop application that provides advanced tools for Design Exploration and Predictive Modeling, packaged in an easy-to-use graphical user interface.
pSeven allows even non-math experts to solve challenging engineering problems and discover optimal designs just in a few clicks!
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Integrate, Explore & Predict
- Automate complex product design processes and integrate all external software and data into a single workflow
- Solve engineering problems with a complete toolset for Design Exploration and Predictive Modeling
- Compose a model of the product from different data sets, analytical and simulation models
- Explore this model with tools for Design Exploration
- Predict responses for new designs or operational regimes of the product with tools for Predictive Modeling
Design Exploration
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.
Predictive Modeling
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.
Process Integration
pSeven is a platform that allows to capture even the most complex design processes by integrating tools for Design Exploration and CAD/CAE software you are using into a single workflow, define its logic and collect, analyze and reuse engineering data.
SmartSelection
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.
Why choose pSeven?
From a technical point of view:
- Unique, fast and efficient optimization algorithms
- Innovative techniques for predictive modeling
- Automatic selection of the most efficient technique for a given problem and data
- Powerful workflow engine for process integration and automation
From a business point of view:
- Reduction of cost expensive physical and computational experiments
- Reuse of already available in-house engineering data
- Improved collaboration between different engineering departments