Labelbox has announced early access to its Foundry add-on for Labelbox Model, which integrates foundational AI models, such as GPT-4, into its platform to enhance data labeling, enrichment, and model development. These foundation models, which excel across various data modalities, promise to accelerate labeling tasks by over 88%, reducing human effort significantly, and enabling tasks that previously took days to be completed in hours. By leveraging these models, Labelbox aims to outperform traditional and programmatic labeling methods, providing a more efficient and cost-effective solution. Despite their capabilities, foundation models still require human oversight for quality assurance. Labelbox's approach integrates cutting-edge technologies into its platform, including similarity search and zero-shot classification, to optimize every aspect of data-centric AI development. The Foundry add-on allows access to top AI models from major providers, acting as a copilot for experts and offering tools to test and evaluate models across different prompts and parameters. This development marks a significant evolution in AI systems, promising enhanced performance across enterprise applications.