June 3 | Live webinar
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?
In this joint webinar by pSeven and QUGATE, we present a real-world CFD case study and challenge the assumption that large datasets are required for reliable surrogate modeling. QUGATE algorithms are now available directly from the pSeven Marketplace, making them instantly accessible within your existing pSeven Enterprise environment.
Using a parametrized vehicle model developed for high-performance computing, we show how QUGATE algorithms together with automation in pSeven Enterprise enable engineers to build trustworthy models from a fraction of the usual data, in some cases using only a few dozen simulations.
Date: June 3, 2026
Time: 10:00 AM - 11:00 AM CET
Language: English
Format: Online
Platform: MS Teams
Rather than focusing only on surrogate model accuracy, we show how to identify when additional simulations no longer impact the predicted results. This allows engineers to determine when results are stable enough to be trusted.
In this webinar you will learn:
Kujtim Gashi
CEO & Founder, QUGATE
Laurent Chec
CEO, pSeven
George Biryukov
Application Engineer, pSeven
Register today and reserve your spot.
Can't attend live? No problem! Once you register, we will send you a recording when it is available.
QUGATE builds software tools that accelerates design validation and dramatically reduces the number of simulations or experiments needed to make data-driven engineering decisions. It helps engineers quickly understand which designs are feasible and what input conditions lead to desired outcomes.

pSeven Enterprise is a powerful web-native low-code platform for automation of engineering processes at scale across various industries. pSeven Enterprise doubles productivity of simulation engineers and data scientists, while improving quality and efficiency of the simulation and/or ML-models being developed and deployed. pSeven Enterprise empowers different groups of engineers regardless of their experience and level of expertise to build, deploy and operate models and processes at scale of the whole enterprise.