The developer of the open-source package "Cleanlab" has raised $30M in combined seed and series A funding, enabling the company to go to market with automated data curation for enterprise AI and analytics. This solution addresses the biggest problem in analytics and AI: reliability, which is crucial for companies relying on data-driven decisions. The developer's experience at MIT and various tech companies has given them a deep understanding of the issues with unreliable data, and their solution uses machine learning algorithms to automatically identify errors in datasets and provide reliable results. With this funding, Cleanlab plans to expand its capabilities to include intelligent metadata and a trustworthy language model, which will help automate reliability and quality assurance for systems that rely on large language models like ChatGPT.