Model complex systems. Explore alternatives. Make better decisions.

ExtendSim gives you a flexible environment for modeling real-world systems and understanding how they behave. Build a visual representation of your process, experiment with assumptions, identify constraints and inefficiencies, and evaluate potential improvements before putting them into practice.
From straightforward process models to sophisticated enterprise-scale applications, ExtendSim combines visual modeling, powerful simulation technology, integrated data management, analysis tools, and development capabilities in one environment.
See what you can solve with ExtendSim.
Understand Your System Before You Change It
Simulation gives you a way to explore questions that may be difficult, expensive, or risky to answer in the real world.
With ExtendSim, you can:
- Visualize complex processes and understand how their components interact.
- Experiment without disrupting operations by testing ideas in a virtual model.
- Identify bottlenecks and inefficiencies before committing resources to change.
- Compare alternatives and evaluate the impact of different assumptions.
- Optimize performance using experimentation, sensitivity analysis, and optimization tools.
- Communicate your ideas through interactive models, animation, charts, reports, and customized interfaces.
One Environment. Multiple Ways to Model.
One of ExtendSim’s greatest strengths is its flexibility. Model a system using the simulation methodology that best represents how it actually works, or combine methodologies within the same model.
Continuous Simulation
Model systems in which values change continuously over time, including physical, chemical, biological, financial, and other dynamic processes.
Discrete Event Simulation
Model systems where entities move through processes and events occur at specific points in time, such as manufacturing, logistics, healthcare, service operations, and supply chains.
Discrete Rate Simulation
Model rate-based systems where quantities flow through a process while being constrained by capacity, availability, routing, or other operating conditions.
Reliability Modeling
Analyze equipment availability, reliability, maintenance strategies, failures, and their effects on system performance.
Agent-Based Modeling
Represent individual entities with their own behaviors, rules, and interactions to explore how system-level behavior emerges.
| Explore Simulation Methodologies |
Built for More Than Basic Simulation
Visual Model Building
Build models graphically using reusable blocks and libraries. Organize complex systems hierarchically so models remain understandable as they grow.
Integrated Data
Store, manage, and exchange model data using ExtendSim's integrated relational database, model variables, tables, and connections to external data sources.
Experimentation & Analysis
Investigate alternatives using scenario management, sensitivity analysis, Monte Carlo analysis, optimization, charts, reports, and other analysis tools.
Python Integration
Connect ExtendSim models with Python to extend analysis and development workflows. ExtendSim 2026 introduces Python integration through the Python Bridge block, supporting interaction between Python scripts and model variables and databases.
Model Diagnostics
Understand what is happening while a model runs with the Notifications window and Diagnostic Log, which provide additional information for monitoring model activity and troubleshooting problems.
Customize and Extend
Go beyond prebuilt modeling components. Modify existing blocks, create your own blocks and interfaces, develop reusable libraries, and build specialized modeling environments for your organization.
From First Model to Custom Simulation Application
Run
Use existing models to explore alternatives, change assumptions, and review results without developing the underlying model.
Build
Create models visually using the blocks and libraries included with ExtendSim.
Customize
Adapt existing blocks, build reusable hierarchical components, and create interfaces tailored to specific users or workflows.
Develop
Use ExtendSim's development environment, APIs, scripting capabilities, and integration tools to create specialized simulation applications and modeling architectures.
Start where you need to. Extend as far as your application requires.
What’s New with ExtendSim 2026
ExtendSim 2026 expands what you can do with your models while making development, troubleshooting, integration, and deployment more efficient.
Highlights include:
- Python integration
- New model diagnostics and troubleshooting tools
- Improved database scalability and performance
- PDF printing
- Digital signatures for executable library code
- Model navigation, file-saving, API, stability, and usability improvements
| Explore What's New in ExtendSim 2026 |
Choose the ExtendSim Package That Fits Your Work
ExtendSim Pro
Comprehensive simulation for complex systems.
Build discrete event, discrete rate, continuous, agent-based, reliability, and mixed-methodology models in a comprehensive modeling and analysis environment.
| Explore ExtendSim Pro |
ExtendSim CP
Continuous modeling and simulation development
Model continuously changing systems and create customized simulation applications using ExtendSim CP's modeling and development environment.
| Explore ExtendSim CP |
ExtendSim Analysis RunTime
Run and explore ExtendSim models
Run completed models, change inputs, explore alternatives, and analyze results without requiring the full model-development environment.
| Explore ExtendSim ART |
See What You Can Solve with ExtendSim
Turn complex systems into models you can understand, experiment with, and improve.
Whether you're evaluating a new idea, optimizing an existing process, or developing a sophisticated simulation application, ExtendSim gives you the tools to move from question to insight.
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