Cleanlab is focused on data-centric AI (DCAI), providing algorithms/interfaces to help companies (across all industries) improve the quality of their datasets and diagnose/fix various issues in them. They develop next-generation DCAI algorithms that they release publicly as open-source software (github.com/cleanlab/cleanlab) as well as enterprise SaaS products with interfaces for data scientists/engineers to effectively improve their data quality and produce more reliable ML models. While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise.
"[We used Cleanlab in] an update of one of the functionalities offered by the BBVA app: the categorization of financial transactions. These categories allow users to group their transactions to …
"A while back, I made a toxic language classifier. However, I was unsatisfied with the training data. I split the text by sentences while retaining the original label, hoping I'd …
"We have developed pervasive sensing and data processing system which collects data from multiple modalities depth images, color RGB images, accelerometry, electromyography, sound pressure, and light levels in ICU for …
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