OptiMind is a new research model from Microsoft that aims to simplify the process of translating natural language optimization problems into mathematical formulations ready for solving. Traditionally, this translation is time-consuming and requires significant expertise. OptiMind addresses this challenge by acting as a specialized language model that automates the conversion of problem descriptions into structured models, which can save time and resources for teams working on optimization tasks. The model is publicly accessible via Hugging Face, allowing researchers and developers to experiment with it directly in the Hugging Face playground. This accessibility means that users can easily integrate OptiMind into their existing workflows, making advanced optimization techniques more attainable for a wider audience. The focus is on reducing the time spent on modeling rather than improving solver performance, which is particularly beneficial in fields like supply chain design, workforce scheduling, logistics, and financial portfolio optimization. OptiMind is especially valuable in situations where the main barrier is the formulation of problems rather than the solving process itself. By streamlining the transition from a textual problem statement to a mathematical model, it enables teams to develop actionable solutions more quickly and confidently. Users can start experimenting with OptiMind today through Hugging Face and Microsoft Foundry, with technical details available on the Microsoft Research blog.