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Overview

If it seems like decision-making has become more difficult lately, you’re not alone. In fact, Gartner reports that 65% of decisions are more complex than they were two years ago.

You need to make decisions that lead to optimal business outcomes. That’s hard enough. But you have to do so in the midst of extreme complexity—such as global change, regulations, fluctuating energy costs, green energy targets, and supply chain disruptions.

But there’s good news. With Gurobi’s decision optimization technology, you can let the AI take every detail into consideration—something humans alone simply cannot do—and identify your best possible course of action.

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Should Your Company Be Using Mathematical Optimization? Ask Yourself These Four Questions to Find Out

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Features

  • Responsive, Expert Support
  • Flexible Licensing
  • Support for All Major Problem Types
  • Responsive, Expert Support
  • Flexible Licensing
  • Support for All Major Problem Types
  • Gurobi Optimizer Delivers Responsive, Expert Support

    Responsive, Expert Support

    Our PhD-level experts are here when you need them—ready to provide comprehensive guidance and technical support. They bring deep expertise in working with commercial models and are there to assist you throughout the process of implementing and using Gurobi.

    • Tap into our team’s deep expertise—from implementation to tuning and more.
    • We respond to customer inquiries in hours not days, helping to quickly resolve any issues you’re facing.
    • We can help you fit and adapt your mathematical optimization application to your changing requirements.

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  • Gurobi Optimizer Delivers Flexible Licensing

    Flexible Licensing

    Deploy your model where and how you want. One user can solve a single model on one machine, or many users can solve multiple models using many machines. You can also solve models locally or on an internal or public cloud.

    • Each license can be used for both development and deployment.
    • Each license can run multiple applications.
    • Licenses can be transferred from consulting developer to end user.
    • License grows as chip capabilities grow.

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  • Gurobi Optimizer Delivers Support for All Major Problem Types

    Support for All Major Problem Types

    Model your problem the way that works best for you—including LP and MILP and convex and non-convex QP, MIQP, QCP, and MIQCP, as well as SOCP and bi-linear problems.

    • Linear Programming (LP)
    • Mixed-Integer Linear Programming (MILP)
    • Quadratic Programming (QP)*
    • Mixed-Integer Quadratic Programming (MIQP)*
    • Quadratically Constrained Programming (QCP)*
    • Mixed-Integer Quadratically Constrained Programming (MIQCP)*
    (* Convex and non-convex)

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“Using mathematical optimization to solve the tail assignment problem brings large savings on a yearly basis.”

Solene Richard
Data Science and Operational Research Team Leader, Air France KLM

“We estimate that we are saving around 1% of the fuel costs with huge volumes for the entire fleet.”

Solene Richard
Data Science and Operational Research Team Leader, Air France KLM

“We're also saving on delay propagation and on operational costs. ”

Solene Richard
Data Science and Operational Research Team Leader, Air France KLM

Frequently Asked Questions

Mathematical optimization uses the power of math to find the best possible solution to a complex, real-life problem. You input the details of your problem—the goals you want to achieve, the limitations you’re facing, and the variables you control—and the mathematical optimization solver will calculate your optimal set of decisions.

85% of the world’s leading companies use mathematical optimization to make optimal business decisions. For example, Air France uses it to build the most efficient schedule for its entire fleet, in order to save on fuel and operational costs, while reducing delay propagation.

Descriptive and predictive analytics show you what has happened in the past, why it happened, and what’s likely to happen next. But to decide what to do with that information, you need human input—which can introduce bias.

With mathematical optimization, you receive a decision recommendation based on your goals, constraints, and variables alone. You can, of course, involve human input when it comes to whether or not to act on that recommendation. Or you can bypass human input altogether and automate your decision-making.

Guidance for Your Journey

Gurobi: Always Free for Academics

We make it easy for students, faculty, and researchers to work with mathematical optimization.

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Trusted Partners, at Your Service

When you face complex optimization challenges, you can trust our Gurobi Alliance partners for expert services.

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We’ve Got Your Back

Our global team of helpful, PhD-level experts are here to support you—with responses in hours, not days.

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What's New

What's
New at Gurobi
News
Gurobi 10.0 Delivers Blazing-Fast Speed, Innovative Data Science Integration, and an Enterprise Development and Deployment Experience
Latest release enables data professionals to easily integrate machine learning models into optimization models to solve new types of problems.
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Event
Webinar: What’s New in Gurobi 10.0
In this webinar, attendees will get a first look at our upcoming product release, Gurobi 10.0. We will summarize the performance improvements and highlight some of the underlying algorithmic advances, such as the network simplex algorithm, enhancements in concurrent LP, and optimization based bound tightening.
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new content
Cost Savings & Business Benefits for Gurobi Customers
2022 Total Economic Impact™ Study Reveals A 518% ROI with Gurobi
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