Graft is a full-lifecycle production AI system that aims to simplify the adoption of modern AI solutions. It provides a platform for building and scaling AI solutions without requiring expertise in machine learning. With Graft, users can easily build production-ready AI solutions on their business data using foundational models. The platform offers various applications, including semantic search, chat-based data interaction, text summarization, question and answer systems, and visual data exploration. It eliminates the need for piecing together multiple disjointed tools by providing a comprehensive solution for managing the entire lifecycle of AI initiatives. Graft allows users to integrate AI features into their products without needing to perform feature engineering and hyperparameter tuning. The platform guarantees that anything built within it will work in a production environment. It enables users to leverage both structured and unstructured data, including text, images, video, audio, and graphs, to unlock the full value of their data. Graft offers customization options to tailor AI solutions based on unique business needs, from foundation models to pretraining and fine-tuning. The platform emphasizes data-centric approaches to boost model performance and reliability. By leveraging state-of-the-art foundation models and multimodal analysis, Graft aims to deliver improved results and reduce costs for AI development.