GEOMETRY AI
AI-POWERED PRE-PROCESSING
Automate geometry pre-processing with an AI-powered platform that turns raw CAD into simulation-ready models while maintaining geometric fidelity and design intent.
GEOMETRYAI
ADVANTAGES
GeometryAI brings geometry preparation up to the pace of modern simulation by turning a manual prerequisite into an automated step in the workflow. Engineers upload raw CAD, define feature resolution and tolerances, and the platform automatically repairs topology, resolves gaps and intersections, and prepares watertight geometry while maintaining geometric fidelity and design intent. GeometryAI functions as an AI agent that absorbs hours or days of expert geometry preparation work, reasoning over topology and tolerances to produce simulation-ready geometry, increasing the velocity of design iteration and supporting higher simulation throughput across programs.
30x Faster
Geometry Preparation
GeometryAI automates the preparation of real-world, complex CAD by repairing topology, resolving gaps and intersections, and producing watertight geometry in minutes instead of hours or days. This accelerates the path from design to simulation, keeping geometry preparation aligned with rapid design iteration cycles.
5x More
Design Iteration Velocity
GeometryAI enables teams to move through design iterations faster by making geometry preparation repeatable and quick to rerun after each design change. This sustains design momentum across large studies and multi-variant programs, supporting more aggressive exploration before design freeze.
70% Cheaper
Scaled Design Exploration
GeometryAI automates geometry preparation for both human-driven workflows and agent-driven pipelines, enabling real design exploration at scale. By removing geometry preparation as a manual bottleneck, teams can allocate engineering time toward design decisions and analysis rather than preprocessing.
GEOMETRYAI
HOW IT WORKS
GeometryAI uses highly sophisticated AI algorithms to consume imperfect CAD files, understand the shape engineers intended to build, and create a clean simulation domain. It learns the structure of the object from broken or incomplete surfaces, fixes geometric defects, and automatically produces solver-ready geometry, removing manual preparation from the critical path of CFD workflows.
Fault-Tolerant
Highly sophisticated AI interprets raw, dirty geometry, including gaps, overlaps, and disconnected surfaces.
3D Intelligent
AI maps the model to reconstruct the object in 3D, recovering the true shape from fragmented or inconsistent surface data.
Spatially Aware
AI reasons about spatial relationships in imperfect CAD to form a valid simulation domain, even when parts are misaligned or incomplete.
GEOMETRYAI
ALTERNATIVES AND COMPARISON
Geometry preparation remains the largest bottleneck in modern simulation workflows, often pacing the entire CFD process through preprocessing and grid generation. While a range of methods exist, these approaches still rely heavily on manual steps, especially for novel and single-prototype designs. GeometryAI brings geometry preparation into an automated platform, reducing this bottleneck and making simulation workflows more consistent at scale.
| GeometryAI | Traditional Preparation | Wrapping Methods | |
|---|---|---|---|
| Maintains design geometry and intent | ✓ | ✓ | — |
| Preserves small features and thin structures | ✓ | ✓ | — |
| Fully automated preparation | ✓ | — | ✓ |
| Reduces human-in-the-loop preprocessing | ✓ | — | ✓ |
| Repeatable across physics disciplines | ✓ | — | — |
| Produces consistent simulation-ready geometry | ✓ | — | ✓ |
| Designed for agent-driven automation | ✓ | — | — |
GEOMETRY AI
FEATURES
GeometryAI provides a complete geometry preparation platform for simulation, combining automated repair, intelligent healing, and workflow integration into a single system. The platform supports real-world CAD and prepares consistent, simulation-ready geometry across disciplines and use cases, for both interactive engineering workflows and automated pipelines.
01
Model Support
Supports direct ingestion of native CAD, including large, complex multi-part assemblies and production geometry commonly encountered in aerospace and automotive workflows. Complex surface topologies, mixed-quality geometry, and detailed assemblies can be brought into geometry preparation without requiring manual restructuring of the source model.
02
Geometric Operations
Applies controlled defeaturing, trimming, merging, and surface management to shape raw CAD into geometry suitable for surface meshing and downstream simulation. Feature abstraction is guided by geometric scale and resolution targets, allowing preparation behavior to align with the intended simulation objectives.
03
Intelligent Geometry Healing
Identifies true geometric defects through topological and surface-continuity analysis, including gaps, holes, unmatched edges, degenerate surfaces, and invalid connections. Targeted repair is applied only where geometry is incomplete or inconsistent, preserving valid surfaces and complex junctions while restoring a clean, watertight representation aligned with design intent.
04
Watertight Model Generation
Produces watertight geometry suitable for reliable surface and volume meshing, resolving hidden gaps, unintended openings, and surface connectivity issues that commonly disrupt downstream meshing and solver setup.
05
Geometry Informed Surface Meshing
Generates surface meshes that follow geometric features, curvature, and resolution targets, producing a consistent foundation for downstream volume meshing. Local refinement is applied in regions of high curvature, surface transitions, and geometric complexity to support high-fidelity simulation.
06
Automated Error Detection
Automatically detects common geometry issues that impact meshing and simulation, including unmatched edges, sliver surfaces, unintended holes, interior faces, and surface continuity problems. Early identification of these conditions reduces downstream meshing failures and rework.
07
Tolerance-Aware Preparation
Adapts repair and feature abstraction behavior based on model scale and simulation resolution, preserving geometry that influences flow physics while simplifying detail that does not affect the solution. This maintains alignment between geometric preparation and the fidelity requirements of the simulation.
08
Workflow Integration
Integrates geometry preparation, surface meshing, and simulation setup into a continuous workflow, reducing handoffs between tools and maintaining consistency between prepared geometry and downstream meshing and solver stages.
09
Agent-Driven Automation
Executes geometry preparation as a programmatic step within automated simulation pipelines, enabling closed-loop workflows for large design studies, dataset generation, and design-space exploration without manual intervention in routine geometry preparation.
BLOG
The Stories of Simulation Technology
Flexcompute Unveils High-Fidelity Physics Simulation Powered by NVIDIA Blackwell Platform for a New Paradigm of Speed
03 Jul 2025
By Flexcompute
TERMS & CONDITIONS
How the process works:
Try this real URL to see an example: