Automate and facilitate the development, deployment and scaling of simulation methodologies and build reliable Digital Prototypes with pSeven Enterprise.
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Take advantage of pSeven Desktop, an integration platform for design exploration and predictive modeling.
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Desktop application for design optimization and process integration (PIDO)
Design Exploration
Explore various design alternatives and easily find optimal solutions with Design of Experiments and Design Optimization strategies.
Automatic choosing of algorithms
Predictive Modeling
Predict response values for new designs, accelerate complex simulations and capture knowledge from vast amounts of data.
Automatic choosing of techniques
Process Integration
Automate complex product development processes by integrating all your CAD/CAE software into a single workflow and defining its logic.
Web-native low-code platform for engineering automation at enterprise scale
Low‑code automation
Capture even the most complex engineering processes, define its logic and collect, analyze and reuse engineering data thanks to powerful workflow engine and low-code approach.
Collaborative engineering
Collaborate easily with your teammates, suppliers or partners: private and shared workspaces, simultaneous co-authoring of workflows and analysis of results in the cloud.
Workflow-powered web apps
Share simulation methodologies with other users across and outside the organization in a from of DIY workflow-powered web apps.
pSeven Enterprise transforms complex simulation business processes into automated multidisciplinary workflows. This transformation formalizes processes, eliminates data transfer errors and accelerates simulation. Furthermore, automated simulation workflows enable parametric, multidisciplinary design optimization.
The research article from our partner in Korea, RaonX. This study proposes a method for developing high-fidelity finite element (FE) models based on multiobjective optimization using pSeven's capabilities. Three 10-kW-class wind turbine blades were manufactured and tested. The modal parameter changes were measured and the modal analysis results were compared with the experimental results, proving the high-fidelity quality of the model-building approach.
This article describes how the features presented above can be applied to real-world examples of wing design.
pSeven Enterprise allowed to automate the simulation processes inside different departments and after that link the dependencies between those simulations in one master workflow to create a full-scale digital prototype of a jet engine.
Repetitive manual operations during compressor map cunstruction such as building geometry models, mesh generation, post-processing of the results and data exchange between different software were automated in pSeven Enterprise.
Another Use Case for Formula Student. In this project, a group of students from the Formula Student optimized the attachment points of the rear suspension of the new version of their racing bolide using pSeven Desktop.
pSeven Desktop based project that allowed create an automated workflow for parametric analysis and optimization of car suspension dampers in order to ensure passenger vibration comfort and smooth vehicle behavior on the road.
pSeven Desktop based project for Formula Student, a student engineering competition held annually all over the world. The results allowed increasing the accuracy of the mathematical model of the longitudinal movement of the racing car, which even closer brought it to the real model of the car's behavior on the track.
Benefits of optimization with parametric mesh morphing: ANSA and META integration in pSeven Desktop. The Use Case that demonstrates the benefits of parametric mesh morphing in optimization studies compared to the typical CAD-based parameterization of geometry modifications.
pSeven Enterprise transforms complex simulation business processes into automated multidisciplinary workflows. This transformation formalizes processes, eliminates data transfer errors and accelerates simulation. Furthermore, automated simulation workflows enable parametric, multidisciplinary design optimization.
The research article from our partner in Korea, RaonX. This study proposes a method for developing high-fidelity finite element (FE) models based on multiobjective optimization using pSeven's capabilities. Three 10-kW-class wind turbine blades were manufactured and tested. The modal parameter changes were measured and the modal analysis results were compared with the experimental results, proving the high-fidelity quality of the model-building approach.
This article describes how the features presented above can be applied to real-world examples of wing design.
pSeven Enterprise allowed to automate the simulation processes inside different departments and after that link the dependencies between those simulations in one master workflow to create a full-scale digital prototype of a jet engine.
Repetitive manual operations during compressor map cunstruction such as building geometry models, mesh generation, post-processing of the results and data exchange between different software were automated in pSeven Enterprise.
Another Use Case for Formula Student. In this project, a group of students from the Formula Student optimized the attachment points of the rear suspension of the new version of their racing bolide using pSeven Desktop.
pSeven Desktop based project that allowed create an automated workflow for parametric analysis and optimization of car suspension dampers in order to ensure passenger vibration comfort and smooth vehicle behavior on the road.
pSeven Desktop based project for Formula Student, a student engineering competition held annually all over the world. The results allowed increasing the accuracy of the mathematical model of the longitudinal movement of the racing car, which even closer brought it to the real model of the car's behavior on the track.
Benefits of optimization with parametric mesh morphing: ANSA and META integration in pSeven Desktop. The Use Case that demonstrates the benefits of parametric mesh morphing in optimization studies compared to the typical CAD-based parameterization of geometry modifications.
pSeven SAS, a leading provider of advanced data analytics and optimization solutions, is excited to announce a strategic partnership with Digital House Group, a privileged partner in consulting engineering, digital innovation and digital transformation.
pSeven SAS announces the product name adjustment for its PIDO platform, pSeven. Starting from April 15, 2025 the product name is changing to pSeven Desktop.
This collaboration will integrate pSeven Desktop into the AFRC’s FutureForge platform, the world’s most advanced digital forging facility.
The event will focus on future solutions for manufacturing, including digital twins, AI, materials development, quantum computing, and supply chain.
Our team is proud to present a joint session with Mvoid Audio Technologies, titled 'Streamlining acoustic analyses of loudspeaker performance'. This presentation will be delivered by George Biryukov (PSEVEN) and Alfred Svobodnik (Mvoid). The authors will present a web-based application that automates the evaluation of loudspeaker positioning in vehicle interiors, enabling fast design iterations, reducing manual effort, and supporting informed audio design decisions by non-experts.
BİAS Mühendislik, pSeven partner in Turkey, one of leading engineering companies and the largest private automotive test center, and Nina Moëllo, pSeven SAS application engineer, invite you to participate in an online event - Collaborative Engineering Platform: Integrate multidomain workflows and share expert methods at scale to shrink vehicle development cycle.
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