Read 11 Cleanlab reviews and testimonials from customers, explore 1 case studies and customer success stories, and watch customer videos to see why companies chose Cleanlab as their undefined

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.

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Customer Rating Review Scorebased on 506 reference ratings
4.8/5.0 (506)

11Testimonials

  • "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 be able to quickly clean-up, but that didn't work well. I took the sentence-labeled training data and threw it at cleanlab to see how well confident learning could identify the incorrect labels. These results look amazing to me. If nothing else, this can help identify training data to TOSS if you don't want to automate correction."

    David KnickerbockerChief Technology Officer
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1 Case Studies

  • Leading Online Bank - Customer Case Study

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