AeroGalactica Engine
Shared design intent, semantic geometry, and study logic.
Explore more designs.Defend the decision.
Geometry, physics, optimization, and evidence in one governed engineering loop.
One governed model carries every consequential engineering decision.
Geometry, solver context, constraints, and results stay connected from the first trade through technical review.
Explore the model
An engineering stack built around accountable decisions.
Engine Runtime
Durable runs, governed compute, and immutable provenance.
Reference applications
Qualified decision paths for consequential programs.
Engineering intentSemantic geometryQualified physicsGoverned computeAccepted evidence
A connected system for every consequential trade.
AeroGalactica connects geometry, specialist simulation, optimization, and result lineage so aerospace teams can explore consequential design trades with confidence.
Computational geometry generation
Generate exact, implicit, field, mesh, and manufacturing views without losing what each feature means.
Physics simulation ecosystem
Compose qualified thermal, fluid, structural, electromagnetic, and coupled solvers behind stable engineering contracts.
Integrated multidisciplinary design, analysis, and optimization
Coordinate geometry, aerodynamics, structures, thermal behavior, propulsion, controls, cost, and manufacturability.
Closed-loop optimization
Join simulation, optimization, experiments, manufacturing data, and model correction in one governed learning loop.
Computational engineering models
Connect requirements, construction logic, geometry, physics, manufacturing, optimization, and evidence in one executable model.
Authority follows the engineering.
Every handoff has an owner, a typed state, and an evidence boundary.
From semantic geometry to accepted evidence, the context of the decision stays intact.
Define the engineering intent
Capture geometry, physical assumptions, constraints, and acceptance criteria as versioned inputs to the study.
The problem is explicit before compute begins.Compile a reviewable study
Lower those models into an inspectable stage plan for geometry, mesh, case preparation, solve, reduction, and verification.
The execution plan can be reviewed before it runs.Run under governed authority
Admit work against capabilities and budgets, then preserve lifecycle state, failures, artifacts, and attestations.
Execution remains durable and attributable.Promote evidence, not files
Separate raw artifact candidates from accepted results, then carry the basis for a decision into technical review.
The final recommendation has a defensible record.Optimization proposes. Engineers decide.
Evaluate
Scientific workers return typed outcomes and artifact candidates against the study contract.
Feed back
Results update the governed campaign record without giving the numerical worker authority over the decision.
Propose
Optimization logic proposes the next candidates inside approved constraints, capabilities, and budgets.
Review
Only eligible evidence advances to Pareto review, promotion, and the next engineering decision.
Aero-thermal design trades for high-speed air vehicles.
Our initial reference workflow brings geometry, meshing, multiphysics analysis, optimization, and result lineage together for aero-thermal trade studies. It qualifies the design loop; it is not an air-vehicle product.