Datacurve, Inc. operates a specialized platform that provides high-quality coding data for training and evaluating large language models. Founded in 2024 and headquartered in San Francisco, the company addresses the critical need for curated programming datasets in the rapidly expanding AI development market. Datacurve differentiates itself by focusing specifically on coding data quality and labeling accuracy, serving organizations developing AI models for software engineering applications. As a newly established player in the AI data infrastructure space, the company is positioning itself to capitalize on the growing demand for specialized training datasets as enterprises increasingly integrate code-generation capabilities into their development workflows.