An essential element of your CAE workflow

From models to simulation, Discreetize.ai bridges the gap in your engineering workflow.

Discreetize.ai sits in the critical “translation layer” of your simulation workflow: we take rich geometry – ranging from sophisticated CAD models for semiconductors where structures are defined at the nanometer scale, to subsurface geomodels for reservoir basins where the petrophysics operate at hundreds of kilometers — and turn them into high-fidelity, simulation-ready discretizations.

We’re the step that makes complex reality computable.

Raw inputs Automated · provably-correct Solver-ready CAD Geometry Geophysics MESHING ENGINE Simulation QUALIFIED MESH

We provide advanced meshing solutions that solve the two major bottlenecks in the process:

RAW · NOISY CAD WATERTIGHT

01 Preparing the geometry

Pre-processing the CAD or primitives into clean, watertight computational geometry that removes noise and irrelevant detail while preserving the features that matter.

SEEDS CONFORMING MESH

02 Discretizing the volumes

Dividing the physical domain into elements that are “born qualified” and ready for the solver — a provably-correct mesh matched to your application (Voronoi, hex, structured, unstructured) with local refinement, boundary-layer handling, and guaranteed quality.

Automated meshing for the world’s hardest simulations

Meshing is the bottleneck.
We remove it.

Meshing — turning a raw 3D model into the grid a solver can actually run — takes weeks of fragile, manual, expert work on every model. Discreetize collapses it into one automated, provably-correct step — and unlocks uncertainty quantification at scale.

  • Proprietary technology
  • Peer-reviewed — ACM TOG
  • Brought to you by the inventor of VoroCrust
AutoMesh-Geo · VoroCrust
Conforming Voronoi — no clipping
Why this matters

When billions ride on a forecast, the mesh beneath it decides the answer.

Simulation drives the highest-value engineering and subsurface decisions. The mesh is where geometry meets the solver — and where the error is set, before a single timestep runs.

Geomodel
the error is set here Mesh
Simulation
Decision
$85 / t Time-to-Permit and Time-to-First-Injection

Delineate the AoR faster, re-run quickly each time the regulator requests a revised model, and compress the lag from each geomodel update to a decision-quality simulation.

$10–50M+ NPV swing on a single program

From well-spacing and completion calls on one ~100-well unconventional program.

>50% Value a single mis-placed well can destroy

Through frac-driven interference between child wells.

A high-quality mesh quietly changes the result — not just its precision.

The problem

Simulation got fast.
Preparing the mesh didn’t.

Meshing is the single largest bottleneck in engineering simulation — weeks to months of fragile, manual expert work, with dedicated teams just to keep grids alive.

1–2 months of expert effort to prepare a single high-fidelity CFD mesh — versus days of solver runtime. Source: NASA

Weeks-to-months lead times

Body-fitted and Voronoi/PEBI grids take repeated cycles of design, QC, debug and re-run before a single mesh is usable.

Costly rework and failed runs

Slivers, size jumps and pathological cells trigger timestep cuts, convergence failures and do-overs.

Uncertainty quantification is out of reach

Deterministic meshers give one rigid grid per geometry — too slow and fragile for true UQ studies.

Our solution

Born qualified: valid from the first cell — not repaired after.

Instead of building an ugly mesh and fixing it, Discreetize generates a mesh that’s guaranteed valid from the start — the first provably-correct conforming Voronoi method for non-convex, non-manifold domains.

  1. 01

    Sample

    Maximal Poisson-disk sampling places well-spaced seeds across the whole domain.

  2. 02

    Construct

    A true conforming Voronoi mesh is built directly from those seeds — without clipping.

  3. 03

    Guarantee

    Quality and geometry are captured by construction, and sharp features are preserved.

Why it matters

Born-qualified meshing collapses weeks of mesh prep into one run.

Compress engineering cycles

Collapse weeks of fragile, manual meshing into an automated pipeline, so simulation starts in a fraction of the time.

Quality by construction

Every mesh is born qualified — valid and conforming by construction — so you stop chasing slivers and failed runs.

Uncertainty quantification at scale

A fresh, valid mesh every run turns UQ from impractical into routine, so you can explore far more scenarios with confidence.

Mesh the un-meshable

Overlapping boundary layers, fractures, dirty CAD and complex 3D geometry — reconstructed and meshed automatically.

Competitive moat

Why other solutions cannot produce the same results.

Today’s tools

Grid-based meshers · conventional CFD tools

  • Deterministic — one fixed grid per geometry, so UQ studies are impractical
  • Heuristic “ugly mesh, then fix” pipelines that are slow and human-dependent
  • Struggle with overlapping boundary layers, fractures and complex 3D geometry
  • Rising compute overhead and lead time as geometry complexity grows
The Discreetize edge

Structurally different

Quality by construction

Validity is guaranteed, not patched — no sliver chasing, fewer failed runs.

Sampling unlocks UQ

A fresh, valid mesh every run turns mesh error into a sampled variable, so you can explore far more scenarios.

Know-how, not just code

Open-sourced legacy code is useless without the intelligence to apply it correctly.

Where we start

Live today for oil & gas.

AutoMesh-Geo starts where the geometry is hardest — the faulted, layered subsurface, from reservoirs to CO₂ storage. More verticals are on the way.

Live now

Oil & Gas

Faulted, layered reservoirs and CO₂ storage — conforming Voronoi (PEBI) grids that honor every fault and horizon.

Explore

Coming soon: Semiconductors · Aerospace · Automotive. See the roadmap →

Grounded in published research
“Most meshers build a grid, then fight to repair it. We generate a mesh that’s correct by construction — the guarantee comes from the mathematics, not from cleanup.”

— Dr. Mohamed Ebeida · Co-Founder & CTO · Creator of VoroCrust

Peer-reviewed — ACM TOG 2020Proprietary technologyProvably correct by construction
Get started

Ready to make the impossible routine?

Bring a faulted, layered model you already know — we’ll show you a conforming mesh on it.