What is Cleanlab?

Cleanlab is a platform that helps teams build safer AI agents by detecting and remediating incorrect responses from any AI system. It provides guardrails for hallucinations, retrieval errors, policy violations, and more, ensuring outputs meet safety, compliance, and trust standards. The platform is designed to work with any AI system and knowledge base, deploying as an independent layer without requiring changes to existing stacks.

How to use Cleanlab?

To use Cleanlab, teams typically start by booking a demo or exploring the documentation. The platform integrates with existing AI systems and knowledge bases, and can be deployed via VPC or SaaS. Users can then set up real-time detection of AI mistakes, configure guardrails and policies, and use the human-in-the-loop workflow to review and improve responses. The platform provides dashboards and insights to monitor performance and root causes.

Core features of Cleanlab

Real-time detection of AI mistakes (hallucinations, retrieval errors, policy violations)
Guardrails and policy enforcement to block unsafe or non-compliant outputs
Human-in-the-loop workflow for quick remediation and improvement
Root cause analysis and insights into AI performance
Flexible deployment options: VPC or SaaS
Works with any AI system and knowledge base
Supports multiple modalities: voice, chat, and images