A feature platform is a system that orchestrates existing data infrastructure to continuously transform, store, and serve data for operational machine learning applications. It enables users to define features as code, manage them as code assets, and run data pipelines to compute features automatically. Feature platforms solve the engineering challenges of putting features into production by abstracting away complexity and enabling fast iteration cycles in the development process. They provide a standardized way of defining and reusing features across teams and models, making it easier for ML teams to quickly produce new features and power multiple use cases. By managing data pipelines, feature stores, and monitoring capabilities, feature platforms make operational machine learning applications more reliable, scalable, and maintainable.