# Cleanlab

> AI platform for automatically finding and fixing errors in ML datasets.

Cleanlab is an AI data quality platform that automatically identifies and fixes label errors, outliers, and data quality issues in ML training datasets — improving model accuracy without collecting new data. Its Confident Learning technology detects mislabeled examples in any dataset with remarkable precision, and its cleanlab Studio product enables teams to review and fix data quality issues at scale. ML teams at organizations including Google, Microsoft, and government agencies use Cleanlab to improve model performance by fixing the data problems that silently degrade accuracy, often achieving better results from existing data than from collecting additional examples.

## Quick facts

- Categories: Data Analysis, Developer Tools
- Pricing: Freemium (free plan + paid tiers)
- Free plan: Yes
- Official site: https://cleanlab.ai
- Last checked: 2026-10-22

## Key features

- AI data quality platform
- Label error detection
- Dataset curation tools
- Model confidence estimation
- Active learning workflows
- Enterprise data cleaning

## Use cases

- Cleaning messy training datasets
- Finding label errors in ML data
- Improving ML model accuracy
- Enterprise AI data governance

## Links

- Nextool.ai page: https://nextool.ai/tools/cleanlab/
- Alternatives: https://nextool.ai/alternatives/cleanlab/

Source: Nextool.ai (https://nextool.ai/tools/cleanlab/). Pricing and features change; confirm on the provider's site before relying on them.