Simulation Overview
A simulation is the part of the AMESA agent ecosystem that models the real world. It tells the agent system what happens when it takes an action, whether based on historical data, physics, business logic, or other dynamics. The simulator enables agents to learn how to make decisions safely, repeatedly, and at scale.
AMESA supports three types of simulations, giving you flexibility depending on your use case and available infrastructure.
🧠 Simulation Types
1. Data-Driven Simulations (No-Code Option)
Use historical operational data to automatically generate a simulation in the AMESA UI.
No coding required, just upload a properly formatted CSV
Uses AMESA’s Training-as-a-Service
Ideal for industrial and logistics workflows where historical data reflects real-world constraints
2. Containerized Simulations Using AMESA’s Training Service
Bring your simulation, built in any language or framework, and connect it to AMESA via Docker.
You define the simulation logic
AMESA manages the training cluster and runtime
Ideal for teams with existing physics-based or black-box models
This option provides you with complete flexibility while still leveraging AMESA’s infrastructure and tools.
3. Containerized Simulations Using Your Own Azure Training Cluster
For enterprises managing their cloud infrastructure, you can run your simulation and training in your own Azure tenant.
Simulation runs in a Docker container, just like above
AMESA orchestrates training via your own Azure compute resources
Gives you control over scaling, security, and cost management
Explore AMESA’s Example Simulators
To understand how a simulator works inside the AMESA platform, you can explore our public Python simulators hosted on Docker Hub. These simple environments are perfect for:
Demos and POCs
Self-guided learning
Team education and experimentation
Use the CLI to Get Started
To list available simulators:
composabl sim listTo connect to one of the simulators:
composabl sim runSimulation Help
Simulation Help
If you already have a simulator, the documentation will guide you through the process of connecting it to AMESA, whether you’re using our managed training or your infrastructure.
If you don’t yet have a simulator, you can:
Start with a data-driven simulation
Explore our example simulations
Or work with a AMESA partner to develop one based on your system
Contact us for more information about finding a simulation partner.
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