Leverage the full power of simulation by integrating AnyLogic models with your existing tech stack, data sources, and enterprise systems.
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In a modern enterprise environment, systems don’t operate in isolation, but instead they rely on dynamic data, real-time communication, and seamless process alignment. Unlock the full potential of simulation modeling by integrating AnyLogic models with your existing infrastructure.
Integrate with ERP, BI tools, data warehouses, and custom applications. This makes simulation a fully embedded component of your enterprise workflow.
Connect digital twins to live operational systems to reflect current conditions and make decisions based on the most accurate inputs.
Reduce time-to-insight by linking simulation with external engines, optimizers, and business logic.
AI helps to test countless scenarios and identify the best strategies within simulated environments.
Integration capabilities allow users to embed AnyLogic simulations into larger enterprise ecosystems, connect with real-world data sources, and use powerful tools to support smarter decisions.
Make models a part of your existing workflow and integrate them in your operational software like ERP (Enterprise Resource Planning), CRM (Customer Relationship Management), MRP (Materials Requirement Planning), or BI (Business Intelligence) systems for robust planning and risk reduction.
Connect to real-time feeds or static data formats such as CSV, Excel, and XML.
Connect with SQL-based databases and update simulations with live or historical records.
Integrate with external APIs to exchange data with web applications, internal services, or IoT platforms.
AnyLogic is built on Java and provides a powerful API that gives full access to model logic and runtime control. With Java, you can integrate external libraries and services, customize behavior, and extend the model with additional logic.
Simplify the integration of models into operational workflows with AnyLogic Cloud API. Automate simulation runs in the cloud, pass parameters, retrieve results, and integrate simulation into business systems.
Deploy simulation models within dashboards, web portals, or BI tools for real-time interaction by end-users. Use a customized UI for your own SaaS solutions.
See an exampleIntegrate with engines and external solvers via APIs to explore best-case scenarios.
Use Python to connect AnyLogic models to TensorFlow, PyTorch, or custom ML models for prediction and decision support.
Generate synthetic data for supervised learning. Train learning agents using Deep Learning. Test already trained AI algorithms.
Python integration is supported through the Pypeline library. Call Python scripts directly from models for pre/post-processing, data analytics, or machine learning.
AnyLogic integrates with NVIDIA Omniverse to create highly realistic, immersive 3D and VR-ready digital twins. This capability enables collaborative visualization for manufacturing, logistics, transportation, and urban planning workflows, allowing stakeholders to explore complex systems in an interactive virtual environment.
Use geographic locations, tiles, shape files, and search for places, regions, and routes, and move objects along the real routes. Great for supply chain network design, urban mobility, disaster response, and infrastructure planning.
Import CAD drawings to enhance simulation model development.
AnyLogic includes built-in Git support to enable full version control of simulation models. This makes it straightforward for distributed teams to collaborate on models: developers can create and switch between branches, sync changes with remote repositories, and resolve merge conflicts.