AMPL is a modern optimization platform used by organizations in energy, logistics, finance, and advanced analytics to design and deploy large-scale optimization models integrated directly into production systems.
AMPL is a modern optimization platform used by organizations in energy, logistics, finance, and advanced analytics to design and deploy large-scale optimization models integrated directly into production systems.
Optimization systems involving millions of variables, discrete and nonlinear constraints, and evolving business rules that exceed the capabilities of spreadsheets or ad-hoc scripting.
Optimization models embedded directly into operational workflows, connected to data pipelines, analytics environments, and enterprise software.
The flexibility to evaluate and deploy models across leading commercial and open-source solvers without rewriting model logic.
Stable modeling environments designed to support mission-critical decision systems over years of development and operational use.
From modeling to deployment, AMPL provides the infrastructure required to build and operate large-scale optimization systems. Define complex models with a purpose-built modeling language, connect them to modern data and analytics environments, solve them with leading commercial solvers, and deploy them into production decision systems.
AMPL’s purpose-built modeling language allows teams to define complex optimization models clearly and maintainably, separating model logic from data and solver configuration.
Design models that scale from early experimentation to production deployment while maintaining full control over constraints, objectives, and solver behavior.
See also
AMPL integrates directly with Python, allowing optimization models to be embedded within data science workflows and engineering systems.
Use Python to orchestrate data pipelines, manage experiments, and build optimization-driven applications while leveraging AMPL’s high-performance modeling and solver interfaces.
Our amplpy interface allows developers to access the features of AMPL from within Python.
AMPL provides seamless access to leading commercial and open-source optimization solvers. Switch solvers instantly without modifying model logic, enabling teams to evaluate performance, scale workloads, and adapt to evolving infrastructure requirements.
AMPL’s solver interface and presolve capabilities ensure consistent model behavior while leveraging each solver’s advanced algorithms.
AMPL MP
AMPL MP is the solver interface that connects AMPL models to a wide range of optimization solvers, ensuring compatibility, high performance, and continuous support as solver technologies evolve.
Deployment & Infrastructure
AMPL models integrate directly into operational systems, enabling organizations to embed optimization within planning tools, analytics pipelines, and real-time decision platforms.
Deploy models across cloud environments, containerized infrastructure, or custom applications while maintaining full control over solver execution and data flows.
$200B+
revenue influenced by optimization models built with AMPL
$500M+
operational costs reduced through AMPL-based systems
50+ countries
organizations using AMPL
40+ years
of optimization modeling innovation
Organizations across energy, logistics, finance, and infrastructure rely on AMPL to power complex optimization systems in production. From power grid operations to global supply chains, AMPL enables teams to build, deploy, and scale optimization models that support critical operational decisions.
Power Grid Optimization
Hitachi GridView uses AMPL to power large-scale optimization systems for utilities and grid operators worldwide. The platform solves complex unit commitment and network flow models with millions of variables, producing optimal solutions in minutes to support real-world energy system planning and operations.
Optimization Platform
AMPL modeling language
Commercial MILP solvers
Enterprise deployment
Model scale
Millions of variables
Unit commitment & network flow optimization
Take your PoC’s and stakeholder buy-in farther, faster
AMPL empowers you to rapidly prototype large-scale optimization models, seamlessly test a variety of solvers, and leverage the full power of the Python ecosystem – all before committing to a production license.
Experiment with AMPL's intuitive syntax and powerful features to create models that accurately reflect your real-world problems, regardless of their size or complexity.
Explore the performance of both commercial and open-source solvers on your specific models, ensuring you choose the optimal solution for your needs.
Leverage the flexibility and rich ecosystem of Python to streamline your development workflow, create custom visualizations, and integrate with your existing data pipelines.
Build compelling proof-of-concepts that showcase the value of optimization to stakeholders, enabling you to secure buy-in for production implementation.
Streamline optimization development with a unified modeling platform
We handle the complexities of solver integration, data connectivity, and deployment so you can focus on building innovative solutions and delivering real business value.
Easily work with AMPL models and commands directly from your preferred programming language, and effortlessly exchange data and results. Our APIs give you the flexibility and power you need.
Comprehensive resources to help you master AMPL, from installation to advanced modeling techniques.
Discover libraries and sample models that demonstrate AMPL’s capabilities and help you get started quickly.
Get support from the AMPL team and connect with other users through forums and webinars.
Stay up-to-date with the latest AMPL releases and try out all features with a free license.
Low- and No-Modeling experience options for getting started
If you’d like to use AMPL and our suite of products for your business but don’t have an OR background, or modelers on staff – no problem. We have options depending on your needs.
Jumpstart your optimization journey with our AI-driven tools that help generate initial models, saving you time and effort.
Explore a vast collection of free optimization models on Google Colab, complete with Jupyter notebooks for easy learning and experimentation.
Dive into our free online books designed to demystify optimization. Learn the fundamentals of modeling or get hands-on with our Python + AMPL optimization guide.
Our brief consulting service provides comprehensive model accuracy checks, validation, and improvements.
Our comprehensive onboarding services ensure a smooth transition and solid foundation for new users.
Join our community of AMPL users and experts to ask questions, share ideas, and get the support you need.
Create an account to get started or contact us to design a custom package for your business.
AMPL helps you build a customized license with modeling tools, solvers, integrations, and varying levels of support so you pay for exactly what you need.
Visit our documentation site with examples and support for data connectors, APIs, AMPL plugins, and features.
