SimPilot
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Getting Started

IntroductionQuickstartHow It Works

Core Concepts

AI AgentSimulation WorkflowEngineering PipelineKnowledge BaseArchitecture

Features

OverviewChat InterfaceCanvas & ArtifactsSharing & CollaborationExports & ReportsVoice InputMulti-Model AIProjectsTemplates & WorkflowsFile UploadsDeep ResearchWeb SearchCode ExecutionImage GenerationMCP ConnectorsInteractive DashboardsParallel ExecutionURL RetrievalFreeCAD CADSimulationsTemplatesConvergence Monitoring

Simulation

OverviewSupported TypesMesh GenerationError RecoveryBatch & SweepsResults Comparison

Studies & Analysis

OverviewDOE & Parametric SweepsOptimizationComparison

Validation & Reviews

OverviewBaselines & VersioningEngineering ReviewsRegulatory Compliance

3D Viewer

OverviewVisualization ToolsKeyboard Shortcuts

Enterprise

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Examples

OverviewAerodynamicsPipe FlowHeat TransferStructural
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  2. Getting Started
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How It Works

From natural-language requirement to simulation output in a single chat workflow.

SimPilot uses a tool-driven execution loop behind a conversational interface.

Step 1: Define the requirement

Describe the scenario in plain language. Include whatever you know:
  • Geometry and dimensions
  • Physics and operating conditions
  • Solver preferences (optional)
  • Desired outputs or decisions
You can also attach files (geometry, PDFs, images, data tables, archives) to ground the request.

Step 2: Agent plans and executes

The agent turns your prompt into a runnable workflow, typically including:

Research and retrieval

Pull relevant references from internal knowledge and, when needed, external search tools.

Case and mesh setup

Create directory/file structure, generate config files, and prepare meshing inputs.

Execution

Submit simulation runs through the configured runtime path and stream progress.

Failure handling

Parse logs, diagnose problems, rewrite targeted files, and retry within configured limits.

Analysis preparation

Extract metrics, prepare artifacts, and expose outputs for follow-up questions.

Step 3: Analyze and iterate

When results are available, you can:
  • Review structured summaries and artifacts
  • Open interactive 3D visualization
  • Compare runs and run parameter sweeps
  • Generate exportable reports
  • Branch the conversation and test alternatives

Continuous loop

SimPilot is iterative by design. The output of one run becomes context for the next question, so you can move from rough idea to refined decision in one conversation thread.
Prompt quality
Be explicit about success criteria (for example target pressure drop, drag reduction, or thermal limit). Clear criteria help the agent choose better defaults and comparisons.
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Step 1: Define the requirementStep 2: Agent plans and executesStep 3: Analyze and iterateContinuous loop