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.
“At Gavagai, we rely on labeled data to train our models, both publicly available datasets and data we have annotated ourselves. We know that the quality of the data is …
“I am excited by the cleanlab 2.0 project. We use this successfully at OpenTeams. I haven’t seen something this interesting in the space of data-preparation and labeling since snorkel.”
"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 …
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