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About Trustworthy Language Model (TLM)
Cleanlab is a data-centric AI company focused on detecting and fixing errors in AI systems and datasets. Founded by Curtis Northcutt, Anish Athalye, and Jonas Mueller, the company originated from MIT research on improving data quality. Cleanlab operates as an open-core platform, offering both open-source and enterprise solutions to tens of thousands of data scientists and various enterprises.
The company addresses the challenge of working with messy, real-world data, aiming to enhance AI reliability. Cleanlab provides a comprehensive platform that includes real-time detection of AI mistakes, automated data quality solutions, and human-in-the-loop workflows for non-technical teams. Their algorithms can significantly increase model accuracy and streamline data labeling processes. Cleanlab offers flexible deployment options, including private cloud and SaaS, catering to diverse industries such as healthcare, e-commerce, and customer support. The company has experienced rapid growth since its incorporation in 2021 and has secured $25 million in Series A funding.
The company addresses the challenge of working with messy, real-world data, aiming to enhance AI reliability. Cleanlab provides a comprehensive platform that includes real-time detection of AI mistakes, automated data quality solutions, and human-in-the-loop workflows for non-technical teams. Their algorithms can significantly increase model accuracy and streamline data labeling processes. Cleanlab offers flexible deployment options, including private cloud and SaaS, catering to diverse industries such as healthcare, e-commerce, and customer support. The company has experienced rapid growth since its incorporation in 2021 and has secured $25 million in Series A funding.
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