Detect – Check every response generated by AI.

Identify AI mistakes as they happen—whether it’s from a hallucination, missing context, or knowledge gap. Cleanlab ensures trustworthy answers with a clear, actionable score.

Integrations

Detect AI response issues.

Even the best-engineered AI systems aren’t perfect. LLMs, search systems, and knowledge bases all have inherent limitations that lead to unreliable or unhelpful responses.

Hallucinations

Your AI makes up an answer regardless of whether or not the AI agent found the right context.

Wrong Context

Your knowledge base has the answers, but your AI agent can’t find it, resulting in an incorrect response.

Knowledge Gaps

Your AI agent returns ‘I don’t know’ answers when your knowledge base doesn’t have the context.

Escalate untrustworthy AI responses at the right time.

Trustworthiness scores help your AI agents decide when to respond confidently and when to hand off to a human or fallback flow.

Proven best at detecting AI hallucinations.

Hallucination Detection Effectiveness by Method

Results above are averaged over four RAG benchmarks: CovidQA, DROP, FinanceBench, and PubmedQA. Learn more

One metric built from proven and tested operations.

Multiple common operations are combined with proprietary methods into a single, cost-efficient, and reliable metric with a clear explanation.

Easy to integrate.

Just a few lines of code gets you started with Cleanlab. See what it can do to improve your AI agent’s performance and reliability.