Cleanlab
Trust and data quality tools for AI and LLM applications
About Cleanlab
Cleanlab started as an open source library for finding label errors in datasets and now offers tools to score the trustworthiness of LLM outputs and curate data for AI applications. It serves enterprises building agents and RAG systems.
Common use cases
- LLM output verification
- Dataset cleaning
- Agent guardrails
Products and services
Cleanlab Studio
Data curation and issue detection
Trustworthy Language Model
Trust scoring for LLM responses
Open source library
Label error detection
Key features
- Label error detection
- Trust scoring
- Data curation
- Hallucination detection
- Open source library
Integrations
- OpenAI
- Snowflake
- Databricks
- LangChain
Cleanlab alternatives
FAQs
Is there open source?
Yes.
What does it check?
Data issues and LLM response trustworthiness.
Who uses it?
AI and data teams.
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