The Decision Intelligence Ecosystem
The complete infrastructure to model complex problems, solve at scale, and deploy optimization-driven business applications.
Algebraic modeling language for a wide range of mathematical optimization and equilibrium problems.
Covers linear, nonlinear, discrete, stochastic, equilibrium models at scale.
Python-native interface for building and solving optimization and equilibrium models.
Brings the full modeling expressiveness and solver breadth of GAMS into Python workflows.
Create interactive decision applications from optimization models.
Enable non-technical users to explore scenarios and results through a web interface.
Run optimization workloads in parallel or on large-memory systems without manual configuration.
Hardware profiles are selected programmatically and provisioned on demand.
More than just software
Workshops and Training
Learn from our experts about modeling best practices, data exchange techniques, performance tuning of your models and much more.
Model Development & Improvement
Short on modeling experience? We work with your experts to develop tailor-made decision support solutions. If you already have a working model, often we can help improve performance significantly.
Model Deployment
You have a model and need to roll it out? We can help with deployment and UI development, from 100% local to 100% cloud.
Contact us at consulting@gams.com to discuss your requirements!
Case Studies
Modernizing Global Trade Analysis: A New Era for the OECD METRO Model with GAMS MIRO
The OECD's METRO model is a large-scale CGE framework used to asses the impacts of trade policies across 145 countries. Partnering with GAMS and Elevate Economics, the OECD migrated the METRO pipeline to GAMS MIRO, delivering a modern, platform-independent application with interactive dashboards for analysis.
Alpro: Optimizing Energy Management
Alpro, a European leader in plant-based food products, faced the challenge of optimizing its factory’s energy management. With the help of our consulting team, the company implemented two custom models and a graphical user interface, streamlining its operational pipeline from data gathering to daily energy trading and consumption.
Blog
Expanding the Focus: Introducing the MIPfeas Benchmark
Update (September 2026): The article covers new versions of cuOpt 26.08 and HiGHS 1.15.1 which comes with a parallel B&C now utilizing the 24 cores more effectively. Moreover, the result tables of the previous iterations have been added at the …
Turning CGE Models into Policy Platforms with GAMS MIRO
CGE models are powerful tools for policy analysis, but their complexity can limit their reach. This post explains how GAMS MIRO helps turn CGE models into interactive policy platforms for scenario design, comparison, visualization, and deployment.