
AI-Guided Design Exploration with Intact.Simulation for nTop
What if you could explore thousands of design variants and only simulate the ones that matter?

What if you could explore thousands of design variants and only simulate the ones that matter?

Traditional FEA tools still rely on fragile meshing that breaks automation pipelines, slowing AI-era workflows. PyIntact delivers a meshfree, Python-native API for seamless automation, large-scale design exploration, and optimization.

With PyIntact, engineering iteration becomes fast and automated – so you can explore 1000s of design variations, test trade-offs, and compare outcomes all in one go. No manual meshing, no bottlenecks – smarter, scalable engineering.

Intact.Simulation’s meshfree workflow automates simulation and parametric design by removing pre-processing barriers.

Replay of the food4Rhino webinar. We show you how easy it is to setup a structural simulation workflow that allows the user to swap out geometries without changing the

Overview Case Study Prybar Vibration The first action in home remodeling projects is demolition by way of hammer and prybar. Without hearing protection, the resonant clang of the prybar after
Madison, Wisconsin, September 6, 2023 – Intact Solutions, a pioneer in the transition to mesh-free finite element simulation, announces the General Availability (GA) of Intact.Simulation for Rhino Grasshopper. This trailblazing software

Overview Simulation Bottlenecks are Stifling Design Tools and Designers Modern computational design tools, including Generative AI, can help explore vast design spaces, but only if the generated designs can be

Overview Simulation Challenges Limits Ship Design Exploration Traditional mechanical simulation relies on meshing – the act of generating a boundary-conforming mesh from a given geometry. While meshing may be a

Overview Why use simulation fields to drive design? Simulation fields provide a simple yet elegant design methodology used by engineers for light-weighting. The idea is straightforward: simulation fields (e.g., stress,