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.
“Cleanlab is well-designed, scalable and theoretically grounded: it accurately finds data errors, even on well-known and established datasets. After using it for a successful pilot project at Google, Cleanlab is …
"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 …
"If the classifier is trained with these noisy images directly, its performance could be degraded. In view of this, we attempted to find label errors in the image dataset with …
Read Cleanlab Reviews, Testimonials & Customer References from 11 real Cleanlab customers.
Browse Cleanlab Case Studies, Customer Success Stories, & Customer References from 1 businesses that use Cleanlab.
FeaturedCustomers has 2,071,629+ validated customer references
including reviews, case studies, success stories, customer stories,
testimonials and customer videos that will help you make better
software purchasing decisions.
