Accelerate your product development with scalable engineering automation
Automate CAD/CAE tools, streamline design exploration, and empower cross-team collaboration to deliver better products, faster.
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Automate CAD/CAE tools, streamline design exploration, and empower cross-team collaboration to deliver better products, faster.
Learn more navigate_next
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.
Explore pSeven Enterprise's capabilities as a collaborative platform for formalizing and automating multidisciplinary fuel consumption analysis of hybrid electric motors. It presents this process as a ready-to-use, verified tool and demonstrates the platform's integration capabilities and the effective use of the tool within the Aras Innovator PLM system.
This article discusses the automation of the design and optimization of the longitudinal rolling process using QForm and pSeven Desktop. The proposed solution demonstrates high efficiency and can be applied to other hot rolling technologies.
This article introduces the work of the Center of Advanced Die Engineering and Technology (G-CADET), a comprehensive manufacturing research center at Gifu University, highlighting its efforts to realize the automatic search for molding process conditions and autonomous operation by leveraging big data accumulated through optimization process.
Find out how predictive modelling techniques and engineering solutions are shaping the future of automotive acoustics. Explore a web-based application that automates the evaluation of loudspeaker positioning within vehicle interiors. This application enables quick design iterations, reduces manual effort and assists non-experts in making informed audio design decisions.
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.
Explore pSeven Enterprise's capabilities as a collaborative platform for formalizing and automating multidisciplinary fuel consumption analysis of hybrid electric motors. It presents this process as a ready-to-use, verified tool and demonstrates the platform's integration capabilities and the effective use of the tool within the Aras Innovator PLM system.
This article discusses the automation of the design and optimization of the longitudinal rolling process using QForm and pSeven Desktop. The proposed solution demonstrates high efficiency and can be applied to other hot rolling technologies.
This article introduces the work of the Center of Advanced Die Engineering and Technology (G-CADET), a comprehensive manufacturing research center at Gifu University, highlighting its efforts to realize the automatic search for molding process conditions and autonomous operation by leveraging big data accumulated through optimization process.
Find out how predictive modelling techniques and engineering solutions are shaping the future of automotive acoustics. Explore a web-based application that automates the evaluation of loudspeaker positioning within vehicle interiors. This application enables quick design iterations, reduces manual effort and assists non-experts in making informed audio design decisions.
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.
We are excited to announce that four powerful new analysis blocks from our partners at QUGATE are now available on the Marketplace! They bring advanced statistical and optimization capabilities directly into pSeven Enterprise workflows, helping you build more robust and efficient designs.
pSeven SAS, an independent provider of advanced software solutions for simulation automation and design optimization, is proud to announce the official launch of the Marketplace — a new hub designed to expand the capabilities of the flagship product pSeven Enterprise and foster collaboration across its growing user community.
Complex engineering workflows often require a seamless transition between automated process execution and interactive results analysis. It is often the case when engineers design complex workflows in one environment, execute them, and then switch to external tools to visualize or refine the results. These interruptions can reduce productivity and disrupt data traceability.
High-fidelity simulations are precise, but they come at a cost. In many engineering workflows, hundreds of simulations are required before results can be trusted, leading to long turnaround times and significant computational expenses. But what if meaningful insight could be extracted much earlier?
pSeven will participate in NAFEMS DACH 2026. As always, the biennial conference offers you an independent, comprehensive and comprehensive information and networking offer in the field of numerical simulation methods (CAE). You can expect interesting keynote speeches as well as contributions from users of various software and hardware products from industry, research and universities. A large exhibition accompanies the conference.
We are excited to announce that pSeven will participate in the NAFEMS NORDIC 2026, that will take place on May 19-20, 2026, in Gothenburg, Sweden. This NAFEMS Nordic Conference will focus on existing best practices as well as state-of-the-art in FEA, CFD, and associated technologies (AI/ML, SPDM, etc.) – ensuring delegates receive a fully comprehensive overview of the technology available to them.
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