This page breaks down Cleanlab ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Cleanlab’s overall reputation. This data-driven overview will show you exactly how Cleanlab is rated - including how it compares to competitors.

Cleanlab's Overall Rating Summary

  • Average Rating:4.3/5
  • Total Reviews:15 reviews
  • Sources:G2, Facebook
  • Last updated:September 1, 2025

Cleanlab Ratings by Source

PlatformRatingReviewsLast Update
G2 logoG2
4.2/5
13+ reviews01.09.25
Facebook logoFacebook
5/5
2+ reviews06.04.25

What is Cleanlab?

Cleanlab Studio is an AI-powered data curation platform that automates essential data science and engineering tasks, improving data reliability for training ML models, business intelligence, and analytics. It features AI-automated data labeling, hallucination detection, and AutoML model training/deployment, significantly reducing time and costs associated with data quality management. Cleanlab Studio offers a no-code interface, ensuring data quality with AI-powered checks and enhancing productivity by increasing output for the same level of effort.

🤔 Cleanlab vs Competitors: How Do Ratings Compare?

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Frequently Asked Questions

How trustworthy is Cleanlab?

According to G2 review site Cleanlab holds rating of 4.2/5, indicating that users consistently find value and reliability in the platform as of September 2025.

How many stars is Cleanlab rated?

Cleanlab has an average star rating of 4.3 out of 5 stars based on average of 15 reviews as of September 2025.

Where does the rating data come from?

The ratings are pulled from Cleanlab public reviews pages on platforms: G2, Facebook. We update these ratings monthly to ensure they reflect the most current customer feedback.

How overall average rating for Cleanlab is calculated?

The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.