We help manufacturing and retail companies minimize waste of essential resources, including raw materials, labor, machinery, storage space, vehicles, and time. We use mathematical modeling, algorithm design, and custom software development to simulate and prescribe optimized decisions based on data. Notably, in addition to the insights extracted from data with statistical methods and machine learning, our solutions offer specific and detailed actions that consider all operational constraints and can be configured to optimize various objectives, including performance, cost, and efficiency. We utilize agile methodologies and deliver our solutions as web applications. These applications have modern, intuitive interfaces that can easily communicate with spreadsheets and databases. Alternatively, our solutions can be integrated with systems like ERP and MES. This is all part of our mission to help decision-makers make the best possible use of productive and operational resources in an accessible and practical way.We began operations in April 2022, and in our first year, we completed 9 projects for 4 American companies. Our team is composed of 9 highly motivated and qualified professionals, including 2 Ph.D. holders in Applied Mathematics, 5 masters (three in Mathematics, one in Physics, and one in Production Engineering), and 2 bachelors in Computer Science (each of them with more than 10 years of experience). We have extensive experience in mathematical optimization, both in modeling and in the design and implementation of high-performance algorithms. In particular, we are among the world's most advanced users of Mixed Integer Programming (MIP). We have already impacted a variety of domains, including strategic decisions (such as service network design and sourcing optimization), tactical decisions (like production planning and inventory optimization), and operational decisions (like production sequencing and vehicle routing optimization).