Gurobi Optimization has introduced a new AI Assistant designed to enhance user experience and support for its mathematical optimization platform. Available through the company’s website and product interface, the AI Assistant provides users—ranging from novices to experts—with immediate, 24/7 access to resources such as documentation, model guidance, and coding support. By leveraging natural language processing, users can simply describe their challenges, and the assistant will direct them to the most relevant content, including best practices, examples, and troubleshooting solutions. This tool is especially beneficial for new users exploring optimization techniques and those seeking faster, more intuitive support. The AI Assistant is trained on Gurobi’s extensive technical knowledge base, drawing from documentation, support responses, webinars, and expert-authored blogs, making it a centralized hub for learning and troubleshooting.
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The initiative underscores Gurobi’s ongoing commitment to making optimization more accessible and user-friendly across industries. “The launch of the AI Assistant is part of our ongoing effort to make optimization as accessible and intuitive as possible,” said Duke Perrucci, CEO of Gurobi Optimization. “We’ve made significant investments to ensure our users not only have access to the best solver, but also the best support and learning experience.” The assistant complements existing support services, offering immediate help while users continue to benefit from human support when needed. As part of its long-term vision, Gurobi aims to continually improve the AI Assistant, ensuring it evolves with user feedback and new content. This launch reflects a broader trend in AI-powered support tools within enterprise software, and Gurobi is positioning itself at the forefront by integrating AI in a way that directly empowers technical users. With this addition, the company strengthens its mission to simplify and democratize the power of mathematical optimization for a growing community of data scientists, operations researchers, and business decision-makers.
