Automate engineering processes at scale

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  pSeven  v2024.03
Desktop application for design exploration, predictive modeling, CAD/CAE integration and automation.

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  pSeven Enterprise  v2024.03
Low-code cloud-native platform to automate engineering processes and enable Digital Twins at scale.

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  pSeven Core  v2024.03
Python library with machine learning and optimization algorithms.

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SOLUTIONS

  Design Exploration
Solve complex engineering problems with no specialized competence required: Design Exploration tools support the automatic selection of the best suitable technique.

  Predictive Modeling
Predict response values for new designs, accelerate complex simulations and capture knowledge from vast amounts of data.

  Process Integration
Integrate all your CAD/CAE packages into a single workflow, explore virtual prototype behavior and eliminate repetitive tasks with automation.

  SmartSelection
Automatic choosing of appropriate and the most effective DoE, optimization and approximation algorithms ans techniques.

Collaborative engineering
Improve collaboration within and between the teams with simultaneous multi-user access and co-authoring of the workflows in real-time.

Access and scalability
Run many resource-consuming studies simultaneously without interruption with a built-in resource manager.
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pSevenBlogRelease notespSeven Core 6.7 Release

April 29, 2016

pSeven Core 6.7 Release

DATADVANCE development team is pleased to announce the release of pSeven Core 6.7. pSeven Core is the new name for the MACROS library that provides core algorithms and methods available in pSeven, the design space exploration platform for every expertise.

This release features several performance improvements in approximation methods:

Faster smart training thanks to the SmartSelection technology added in MACROS 6.6, in particular when training gradient boosted regression trees (GBRT) models.
Smart training now allows setting a time limit in order to obtain the most accurate model in a given time.
High-dimensional models now require significantly less memory on load than in previous releases.

This release also includes several important bugfixes related to the smart training, approximation model smoothing and surrogate-based optimization methods. Contact us to receive more information and updates!

pSeven 6.6 Release

pSeven 6.7 Release

Contact information

31100, Toulouse, Avenue du Général de Croutte 42

+33 (0) 5 82-95-59-68

info@pseven.io

pSeven Core 6.7 Release

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