Flexcon Eidos

What is Flexcon Eidos?

Flexcon Eidos is a professional integration layer that connects modern AI agents with FlexSim models. It enables simulation experts, consultants, module developers and partner organizations to use AI-assisted workflows with FlexSim: from advanced model analysis and simulation execution, to documentation, development, troubleshooting, and goal-driven work.

Creating a Process Flow – Watch Flexcon Eidos assist in creating and configuring FlexSim Process Flow logic through AI-assisted engineering workflows.

From Excel to Experiment – See how Flexcon Eidos automatically transforms Excel data into a ready-to-run FlexSim experiment, accelerating model setup and simulation workflows.

AI-assisted Simulation Workflows with FlexSim

Flexcon Eidos helps experienced simulation engineers work more efficiently, produce higher-quality simulation results, and apply Flexcon’s expertise through reusable agent-assisted workflows.

Full Project Context

Flexcon Eidos allows AI agents to work with the full project context, not confined only to a FlexSim model. FlexSim is available as a tool for broader knowledge work, alongside local files, technical documentation, code repositories, databases, web resources and other enterprise systems. The AI agent can operate with full awareness of the surrounding project context, goals and conventions, while delegating FlexSim-specific operations to Flexcon Eidos.

Open Architecture

Flexcon Eidos uses the Model Context Protocol (MCP) to expose FlexSim operations to compatible agent harnesses. Organizations can select among supported harnesses and model providers, including compatible local or self-hosted AI models. Deployment, data residency, and governance depend on the selected harness, model provider, infrastructure, and organizational controls.

Flexcon Eidos runs locally alongside FlexSim on Windows. Communication between its local services and connected FlexSim sessions is restricted to the local machine and protected by token-based authentication. Data sent to an AI provider is governed by the selected agent harness, model provider, and deployment configuration. Flexcon Eidos keeps FlexSim operations explicit, allowing changes to be inspected, tested, and reviewed before the model is saved.

Flexible Usage Scenarios

FlexSim Model Engineering. Within a selected model open in FlexSim, an AI agent can use Flexcon Eidos to inspect existing structure and logic, create and configure tools and objects, author and refactor FlexScript, modify Process Flow logic, adjust model parameters, run simulations, investigate model behavior, retrieve and analyze results, and save reviewed changes.

An agent inspects a FlexSim model and refactors it to reduce code duplication. It adds six reusable FlexScript commands, resolves configuration inconsistencies, and fixes a hidden bug, and then verifies that model behavior remains unchanged.

An agent builds and validates an AGV network in FlexSim. It creates a one-way loop, configures control points and traffic rules, connects two AGVs, and verifies continuous operation without deadlock.

An agent analyzes and explains warehouse configuration logic.

Simulation Project Lifecycle. In broader project workflows, an AI agent may work with spreadsheets, databases, CAD files, specifications, requirements, and other project sources through capabilities provided by its harness and connected tools. Flexcon Eidos gives the agent structured access to FlexSim models, allowing it to inspect model structure, make controlled changes, run simulations, and retrieve results. The agent may then combine those results with the wider project context to compare scenarios or prepare reports.

An agent assists the user in data analysis, helps to understand model configuration, runs simulation, exports and visualizes simulation results.

An agent reads geometry data from another application (walls layout in Revit), processes it, and re-creates it in a FlexSim model.

Multi-Model Workflows. Flexcon Eidos allows an AI agent to select and work with one or more connected FlexSim sessions. The agent can inspect and compare model structures, configurations, logic, behavior, and results across those sessions, or adapt reviewed work from one model for use in another. A compatible agent harness may coordinate multiple agents or subagents to manage more demanding, longer-running tasks, while Flexcon Eidos provides structured access to each selected model. Project-specific workflows can be extended through custom skills and integrations.

Possible Use Cases

Flexcon Eidos supports a wide range of AI-assisted engineering use cases across simulation development, model maintenance and project execution. By giving AI agents structured access to live FlexSim models, it enables them to assist with technical analysis, software development, documentation, validation and engineering automation. Flexcon Eidos reduces repetitive work and helps complete simulation projects with greater consistency, traceability and control. Typical use cases include:

Scenario	Use Case	Description
FlexSim Model Engineering	Understanding inherited or complex models	Inspect object hierarchies, Process Flow logic, FlexScript and model relationships to accelerate model comprehension.
FlexSim Model Engineering	Technical documentation	Generate and maintain up-to-date technical documentation matched to FlexSim models and simulation results.
FlexSim Model Engineering	Troubleshooting and validation	Check assumptions, identify potential inconsistencies for engineering review, trace and analyze dynamic behaviors.
FlexSim Model Engineering	Code authoring, review and refactoring	Write, review, and refactor FlexScript code. Using Flexcon Eidos, the agent can update and test model code, accepting changes only when the defined regression checks pass.
FlexSim Model Engineering	Hybrid simulation projects	Support projects that combine FlexSim with C++, Python, C# source code, engineering documents, specifications and automation software.
Simulation Project Lifecycle	Engineering task automation	Automate repetitive engineering tasks such as reading 2D/3D CAD data, extracting geometry, processing and importing statistical data.
Simulation Project Lifecycle	Virtual commissioning support	Assist in preparing Flexcon Emulation environments from exported PLC variable lists and automation data. Work faster and minimize human errors.
Simulation Project Lifecycle	Simulation-driven decision making	Reduce the time to move from a business idea to simulation-based insights. Analyze model results in the context of project goals and requirements.
Simulation Project Lifecycle	Experimentation and reporting	Launch simulation campaigns, collect KPIs and summarize results for engineers and business stakeholders.
Simulation Project Lifecycle	From an idea to a model	Sometimes, a sketch or a model idea is enough to get the first runnable FlexSim model, and start iterating on this proof of concept as early as possible.
Multi-Model Workflows	Multiple requests in parallel	Supported harnesses can run specialized subagents independently on the same project and manage several simulation requests or test different hypotheses simultaneously.
Multi-Model Workflows	Interact with multiple models	Exchange information between multiple FlexSim model instances, compare model logic, configuration, results and dynamic behavior.
Multi-Model Workflows	Scenario comparison	Analyze alternative model versions and compare their outputs more efficiently. Compare simulations to a historical or a reference model.
Multi-Model Workflows	Model merge and reuse	Assist in reviewed copy and adaptation of features from one FlexSim model to another, extract reusable components, compare implementation details of different models.

These use cases are illustrative. Their feasibility, scope, and results depend on FlexSim model complexity, available project context, harness and AI-model capabilities, connected tools, computing resources, and expert review.

Designed for Professional Simulation Teams

Flexcon Eidos is intended for professional FlexSim users and organizations that want to bring state-of-the-art AI capabilities into simulation work without replacing the expertise of the simulation specialists. It helps experienced users work faster, investigate models more deeply, and make FlexSim part of modern AI-assisted engineering and consulting workflows.

Designed for simulation project workflows
- Bring live FlexSim model operations into broader agent-assisted project work
- Select and work with one or more connected FlexSim sessions
- Use compatible agent harnesses to coordinate multiple agents when the project requires it
Open, extensible architecture
- Select an AI provider based on its performance, cost, data residency, and governance requirements
- Use a compatible agent harness that supports the Flexcon Eidos workflow
- Use compatible local or self-hosted AI models if necessary
- Apply your organization’s security and data-governance controls at the deployment layer
- Adapt workflows through custom skills and project-specific integrations

Licensing and Requirements

Flexcon Eidos runs on top of a standard FlexSim installation. A valid FlexSim license is required, together with a Flexcon Eidos license.

Contact Flexcon to find out more information about Flexcon Eidos.