Cleanlab

What is Cleanlab?

Cleanlab is a data quality and LLM trust AI agent offering a data-centric AI platform that finds data issues and scores the trustworthiness of LLM outputs. Founded in 2021 and based in San Francisco, USA, Cleanlab helps ML and AI engineering teams automate data quality and LLM trust work and get results faster.

Key capabilities of Cleanlab

• Label error detection
• Trustworthy LLM scoring
• Hallucination detection
• Dataset curation
• Trust scores for LLM outputs
• Data issue detection

How Cleanlab works

Cleanlab takes data and text as input and produces scores and reports. It combines large language models with task-specific AI, with the vendor managing prompts, models and updates. It connects to tools such as Python, Snowflake, Databricks and OpenAI, so the agent works inside existing workflows.

Who uses Cleanlab?

Cleanlab is built for ML and AI engineering teams. It suits teams that want label error detection and trustworthy LLM scoring without adding headcount, while keeping people in control of review and final decisions.

Cleanlab vs Galileo

Cleanlab is often compared with Galileo. Cleanlab stands out for label error detection and hallucination detection. The right choice depends on your workflow, integrations and budget, so compare both on a real task.