Driving progress in optimization through focused innovation, research, and collaboration
At Gurobi, innovation is about pushing optimization forward—expanding what it can solve, how fast it can run, and how effectively it can be applied to real-world decision challenges. Beyond our core product, our innovation efforts explore new directions, test emerging ideas, and translate advanced research into practical impact through close collaboration with customers, partners, and the research community.
Gurobi AI Innovation Lab
Led by Dr. Pascal Van Hentenryck, the Gurobi AI Innovation Lab is a focused innovation effort within Innovation at Gurobi, dedicated to advancing optimization and other AI technologies where existing approaches reach their limits. The Lab brings together deep technical expertise, rigorous research, and real-world validation to pursue well-defined initiatives with clear ownership, regular momentum, and a path toward meaningful impact.
Additional Innovation Initiatives
Alongside the AI Innovation Lab, Gurobi is actively engaged in a broader set of innovation initiatives and collaborations. These efforts explore new applications of optimization, emerging problem domains, and novel ways of working with customers and partners.
Using GPUs to Solve LPs
Explore our latest benchmark results for new GPU-enabled algorithms for barrier and PDHG.
Learning Through Play: The Burrito Optimization Game
Explore this interactive, web-based game that introduces the concepts of mathematical optimization in a fun and engaging way.
Gurobi Optimods
This open-source Python repository of optimization use cases enables you to solve real-life optimization problems—with no modeling knowledge required.
Massive Open Online Course (MOOC)
Unlock the power of optimized decision-making with our free Udemy course, Introduction to Optimization Through the Lens of Data Science.
Gurobipy Pandas
Efficiently build mathematical optimization models from data stored in DataFrames and Series with this convenient wrapper library that connects pandas with gurobipy.
GEMS
Introducing the Gurobi Engineering MIP School, a two- year program to develop the next generation of optimization experts.
Want to build your optimization skills?
Visit our Learn Optimization page for tutorials, courses, and expert resources.
Our Approach to Innovation
Innovation at Gurobi takes multiple forms, shaped by the problems we tackle and the partners we work with. While there is no single path to innovation, our efforts share a common focus on rigor, relevance, and real-world value.
This approach allows us to move deliberately, testing ideas, learning quickly, and scaling what works.
Applied Innovation
Exploring new applications of optimization to address complex, high-impact decision problems across industries.
Research and Collaboration
Working with academic institutions, customers, and partners to advance optimization methods and translate research into practice.
Demonstration and Enablement
Bringing innovation to life through examples, prototypes, technical content, and demonstrations that show what’s possible.
Collaborate with Gurobi
Many of Gurobi’s innovation efforts begin through collaboration. We work with customers, academic institutions, and partners who are tackling complex decision problems and are interested in exploring what optimization can enable next.
If you have a concrete use case, a research opportunity in mind, or an idea you’d like to discuss, we’d love to start a conversation.