SimuXAI

Physics happens
at every scale.

From electrons dancing at angstroms to air roaring over a wing. One universe, one set of laws, simulated today in fragments.

10⁻¹⁰ melectrons 10⁻⁹ mmolecules 10⁻⁶ mreactions 10⁰ m+continuum
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How science copes

We broke physics into bins.

No single solver spans the universe, so each community built its own: a different method, a different code, a different scale.

10⁻¹⁰ – 10⁻⁹ m

Quantum

Electronic structure. Where accuracy is born.

Quantum ESPRESSOCP2K
10⁻⁹ – 10⁻⁶ m

Molecular

Molecular dynamics. Materials, interfaces, transport.

LAMMPS
chemistry · μs – ms

Kinetics

Reaction networks and combustion chemistry.

Cantera
10⁻³ – 10² m

Continuum

CFD, combustion, hypersonics. Where products live.

OpenFOAM
The good news

World-class open-source solvers exist
for every single bin.

Decades of research. Validated at NASA and national labs. Free. Transparent. No license walls. The physics is already solved.

The catch

But open source is broken in practice.

Weeks before first result

Config dictionaries, meshing, boundary conditions, solver flags. Every code has its own arcane dialect.

You become a sysadmin

Compiling solvers, managing clusters, babysitting queues. PhDs spend their time on DevOps, not physics.

Expert gatekeeping

One or two specialists per team can actually run a case. Everyone else waits in line or skips simulation entirely.

Fragmented islands

Each solver, each scale, each workflow lives alone. No shared interface. No shared data. No compounding.

PUBLIC BETA LIVE

So we fixed that first.

SimuXAI is a solver-agnostic platform where any engineer runs any open-source solver, at any scale, through conversation. Leading CAE professors are in talks to host their own codes on it.

1

Describe

Natural language + geometry upload. AI agents translate intent into a validated solver case. No dictionaries.

2

Run

Autoscaling cloud HPC on spot instances. Pre-built solver images. Zero cluster management. Pay per core-hour.

3

See

In-browser 3D visualization. Real-time residuals, cost, convergence. Share a link.

PRODUCT DEMO
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month-over-month HPC compute growth since beta launch
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active beta users, academia & industry
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AI-guided simulation sessions completed
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HPC core-hours consumed in August alone
The endgame

A universal physics AI,
trained from first principles.

Every simulation on the platform generates validated, high-fidelity physics data: the scarcest training data in AI. Compute-intensive today. Millisecond inference tomorrow.

Simulations

Users run compute-intensive, first-principles solves across every scale

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Datasets

Validated multiscale physics data accumulates. Only we have it

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Surrogates

Fast neural models: hours of solver time become milliseconds

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World model

One AI predicting across the full scale range

10⁻¹⁰ m10⁻⁹ m10⁻⁶ m10⁰ m+

One model. The full spectrum. Fidelity on demand.