UpTrain is a comprehensive LLMOps platform tailored for overseeing large language model (LLM) applications. It offers enterprise-grade capabilities to manage evaluations, experiments, monitoring, and testing efficiently. Key functionalities include diverse evaluations, structured experimentation, automated regression testing, root cause analysis, and the creation of enriched datasets for thorough testing. Users can easily define metrics within its flexible framework and obtain quantitative scores, reducing manual review efforts and eliminating guesswork. With automated regression testing, developers can swiftly test and revert changes as necessary, ensuring robust application stability. UpTrain also provides insights into error patterns, enabling quick iterations for enhancements. Moreover, the platform supports the creation of varied test sets tailored to different use cases, enhancing datasets with real-world edge cases encountered in production environments. Designed with adherence to data governance standards, UpTrain can be self-hosted on various cloud platforms. Supported by YCombinator, its core evaluation framework is open-source. UpTrain caters to developers and managers alike, equipping them with essential tools for constructing, assessing, and refining LLM applications to meet evolving needs in AI technology.