SigOpt is a platform designed to optimize machine learning and AI models at scale, providing tools for automated hyperparameter tuning and experimentation management. It helps data scientists, researchers, and engineers enhance their models' performance by efficiently navigating complex parameter spaces. By leveraging advanced optimization algorithms, SigOpt aims to streamline the model development process, making it more efficient and effective.