Cleanlab
AI platform for automatically finding and fixing errors in ML datasets.
About Cleanlab
"Clean data means better AI, guaranteed"
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.
Key Features
- AI data quality platform
- Label error detection
- Dataset curation tools
- Model confidence estimation
- Active learning workflows
- Enterprise data cleaning
Best For
Official Links
BentoML
Open-source platform for AI model deployment
SambaNova Cloud
Ultra-fast inference for large frontier AI models on custom dataflow processors
Replicate
Run AI models in the cloud via API
Firecrawl
Turn any website into clean data for AI applications
Aider in Browser
Aider AI coding assistant as a web application
Zed AI
High-performance code editor with built-in AI assistant and collaboration.
