pSeven software is a platform that includes advanced Design Space Exploration and optimization tools, has a user-friendly interface, and can be customized with Python codes.

pSeven allows its users to reach the solution of challenging engineering problems and optimum designs with a few clicks without the need for math expertise.

Why should p7 be preferred?

  • Innovative solutions for data and model analysis
  • Original, fast and effective optimization algorithms
  • Automatic selection of the most suitable algorithm for a given problem and data
  • Full integration with Python scripts
  • Reducing costly physical and computational experiments
  • Allowing the use of existing internal data
  • Improved collaboration between different company divisions
  • Very good price / performance ratio

Data and Model Analysis (Data and Model Analysis)

pSeven software provides advanced model analysis tools such as 'Design of Experiments', 'Sensitivity Analysis', 'Uncertainty Measurement' and 'Dimension Reduction', as well as full access and control of external data and rich post-processing capabilities. Thanks to the model analysis tools that pSeven contains, besides the deterministic head, the model can be observed observably by adding uncertainty additions to the model with stochastic. It allows model verification procedures to be performed by examining with different algorithms.

Predictive Modeling (Predictive Modeling)

To enable the response values of new designs to be obtained by creating results suitable for the existing data, experimental and / or solution results, to accelerate the simulated ones by a few degrees and to obtain the essential information from high-scale data. These types of models are usually named as Response Surface Models, Suret Models, Metamodels. After the models are created, the changes in the response values according to the variable values can be examined. pSeven presents the error level of the substitution model by having different elements for experienced models to gain experience.

Design Optimization (Design Optimization)

It enables efficient and effective solutions of single-target (single-purpose) and multi-target (multi-purpose) optimization problems, where the biggest challenge is high computational simulations, by means of analytical models that can calculate quickly. It enables the use of different mathematical methods that can provide solutions for optimization according to design variables and responses. In order to view and process optimum results, the advanced post-processor interface allows the query criteria to be reported in another way. Thanks to the research tools, pSeven makes it possible to create a mathematical model of an engineering problem by making multiple experiments.


SmartSelection is a technique included in the pSeven software that selects the efficient optimization or approximation algorithm for a given problem or data set. By eliminating the algorithm complexity of this technique, precipitation to use advanced mathematical knowledge in 'Design Space Exploration' analysis even for the non-mathematical program. When variables and their responses are defined in your design experiment studies, SmartSelection can automatically select according to the problem.

SmartSelection can choose the most efficient method, even if it is desired to create the model efficiently. It offers one of the different algorithms according to the types of variables. The data can be used according to what is appropriate for the SmartSelection model by combining more methods in a single analysis.

Automation & Integration

With pSeven, it is possible to integrate Design Space Exploration tools and any CAD / CAE software into a single process, optimize the processes of flow definition, data collection and processing.

It includes the elements that will be directly integrated for the software used in CAD platforms such as SolidWorks, CATIA, Kompas3D, NX, Creo. pSeven can also add CAE software with external solver to its own workflow and run it over a single workflow. Thanks to its full integration with Excel, or substitution models obtained from the workflow can be directly transferred to the Excel environment.

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