The article explores the integration of artificial intelligence (AI) and machine learning (ML) in business operations, with a focus on startups, highlighting the growing importance of these technologies in enhancing productivity and innovation. It discusses machine learning operations (MLOps), which are vital for managing the lifecycle of ML models, and introduces Comet as a standout MLOps platform due to its robust features and flexibility. Comet allows users to track, compare, and improve ML experiments and models efficiently, and it supports various programming languages through its APIs and SDKs. The platform is designed to simplify the implementation process, making it accessible for teams, individuals, and institutions. The article underscores the value Comet offers by combining model production monitoring with experiment tracking, thus providing significant advantages over other ML platform suppliers.