Nurdle AI addresses the problem of insufficient high-quality labeled data for training AI models by using real-world human-labeled kernel datasets to create enhanced synthetic datasets. These synthetic datasets perform almost as well as human-labeled datasets, but at a much faster speed and lower cost. Nurdle AI offers a free data gap analysis to identify the type and amount of missing data needed to achieve desired performance targets. By leveraging real-world data, Nurdle AI enables the development of accurate AI models.