Standard Physics

Agentic CFD

Numerical physics simulations,
solved at the speed of agents.

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Reynolds

Describe a flow in plain words. Reynolds writes the case, runs the solver, and hands back the figures, the numbers, and a case you can rerun. Open source, free with a work email.

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Reynoldsonline
Describe a flow in plain words; Reynolds writes the case, runs the solver, and returns the figures and numbers.

Archimedes

Swarms of agents try thousands of layouts, simulate each through Reynolds, and keep what the physics rewards, even redrawing the space itself.

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Design search0 designs explored
Design spacebest L/D 0.0
Archimedes proposes geometries, simulates each one, and keeps what the physics rewards, climbing toward the best design.

Inviscid AI

The same engine, pointed at a running building: it holds a data center within its thermal limits in real time, from live telemetry.

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Thermal controlNominal
Server rackscooling 0%
Cooling output0%
26.0°measured
26.0°setpoint
22.0°window peak
Live control loop: a heat load spikes the temperature, the controller ramps cooling and holds it under the limit.

One solver, recompiled for the GPU.

Up to 830x faster than CPU, and never confidently wrong on a shape it hasn't seen. Fluid and heat, solved together.

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∂ρ∂t+∇⋅(ρu)=0∂(ρu)∂t+∇⋅(ρ u⊗u)=−∇p+∇⋅τ+ρg∂(ρE)∂t+∇⋅((ρE+p) u)=∇⋅(τ⋅u)+∇⋅(k ∇T)τ=μ(∇u+∇uT)−23μ(∇⋅u) I\begin{aligned} \frac{\partial \rho}{\partial t} + \nabla\cdot(\rho\mathbf{u}) &= 0 \\[6pt] \frac{\partial (\rho\mathbf{u})}{\partial t} + \nabla\cdot(\rho\,\mathbf{u}\otimes\mathbf{u}) &= -\nabla p + \nabla\cdot\boldsymbol{\tau} + \rho\mathbf{g} \\[6pt] \frac{\partial (\rho E)}{\partial t} + \nabla\cdot\big((\rho E + p)\,\mathbf{u}\big) &= \nabla\cdot(\boldsymbol{\tau}\cdot\mathbf{u}) + \nabla\cdot(k\,\nabla T) \\[6pt] \boldsymbol{\tau} &= \mu\big(\nabla\mathbf{u} + \nabla\mathbf{u}^{\mathsf{T}}\big) - \tfrac{2}{3}\mu(\nabla\cdot\mathbf{u})\,\mathbf{I} \end{aligned}
Navier-Stokes: mass, momentum, energy. Solved, not approximated.

Everyone else is teaching AI to approximate physics. We put an agent on a real solver, so every answer is bound by the equations and proven against known truth.

Proven, not just plausible.

Tested against problems whose exact answer is known, with the full studies, tables, and plots published.

See the validation →
10⁻³10⁻²slope 2finecoarsemesh size hvelocity error
Kovasznay flow: the measured order of accuracy tracks the theoretical rate.

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Open source under the MIT licence. Free for individual engineers with a verified work email, no card.

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