Scale AI

Scale AI’s vision is to be the foundational infrastructure behind AI/ML applications. The company began with data labeling and annotation used in building AI/ML models. Data labeling and data annotation involve tagging relevant information or metadata in a dataset to use for training an ML model. To train and build any ML algorithm, the model needs to be grounded on accurate data that is correctly labeled. Scale AI’s core value proposition is built around ensuring companies have correctly labeled to allow them to build effective ML models. By building comprehensive datasets to train AI/ML applications, Scale AI seeks to enable developers to build accurate applications with increased capability and limited vulnerability.