Labelbox has introduced a significant update allowing users to integrate their custom AI models into the platform with ease, enhancing prediction capabilities, model evaluation, and data enrichment. This update eliminates the previous need for manual setup by the customer solutions team, offering a self-serve, product-integrated user interface for seamless model integration. Users can quickly deploy models like LLMs, classification models, text analysis, or NER for various tasks, thereby increasing workflow efficiency and security. The update also supports Foundry integration for labeling and data enrichment, and enables simultaneous evaluation of up to ten models in chat arena evaluations. The process to add a custom model involves deploying it on an HTTP endpoint and entering relevant details on the Labelbox Models page, promoting faster innovation and AI development.