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Arxyne

From design intent to digital twin. One continuous engineering loop.

Arxyne makes AI safe and useful for engineering. Embedded into real workflows with governance, provenance, and physics validation built in. OpenUSD-native, agentic, containerised.

We don't build vehicles, robots, or aircraft. We give engineering teams AI they can actually trust — from first sketch to every mile driven or hour flown.

  • :material-wind-power:{ .lg .middle } OpenUSD digital twins

    Composable, versionable, diffable. One source of truth across the lifecycle.

  • :material-robot:{ .lg .middle } AI-assisted engineering

    Agents handle orchestration, validation, traceability. Governed and auditable.

  • :material-cog-sync:{ .lg .middle } Multi-domain

    Ground vehicles, aircraft, any cyber-physical product. Same pipeline, different physics.

  • :material-docker:{ .lg .middle } Containerised solvers

    Pluggable. Add a solver = add a container.

  • :material-server:{ .lg .middle } Deploy anywhere

    Workstation, data centre, on-prem, cloud. Your IP stays where you choose.

Get started

pip install arxyne
arxyne --doctor
arxyne --onboarding

Follow the Quickstart to install Arxyne, run a workflow against the bundled Ahmed body, and see gates fire against real simulation results.

Reference products

Three validated reference cases ship with the CLI:

Product Type Domains
ahmed Research body (25° slant) Aero
drivaer-notchback Sedan Aero + Dynamics
onera-m6 Transonic wing Aero