Modern AI/ML models inherit the noise and biases encoded in their training data, and these flaws ultimately limit how well these models perform in the real world. Data-centric AI is a shift in philosophy for the development of models from increasing the complexity of the model to improving the quality of the training data. Modulos DCAI Platform's revolutionary approach is to directly link each training sample to model performance and give the user the guidance to effectively clean the training data to result in better models.