Cleanlab AI
Monitors AI agent responses for hallucinations and policy violations, then routes bad ones to a human for review.
At a glance
Starts at
Free
No paid plan found on the vendor's site, September 2026.
Free tier
Yes
Platforms
Web
Best for
Teams needing guardrails before AI reaches customers
Not for
Teams wanting a fully hands-off AI pipeline
3.9 out of 5
Scored by a Toolio reviewer after real useOur verdict
Cleanlab watches an AI agent's output in real time and flags hallucinations, retrieval errors, documentation gaps and policy violations before they reach a user. When something is caught, a human-in-the-loop workflow lets non-technical staff fix the response or its underlying source. It still depends on a human to review and remediate flagged issues, so it does not fully remove people from the process.
✓What it does well
Real-time error detectionIt flags hallucinations, retrieval errors and policy violations as they happen.
Human-in-the-loop fixesNon-technical staff can correct flagged responses or their source material directly.
Smooth escalationConversations can hand off from the AI agent to a human without friction.
✕Where it falls short
Still needs human reviewFlagged issues still require a person to review and remediate them.
Add-on layerIt sits on top of an existing AI agent rather than replacing it, so it is not a standalone assistant.
Focused on support use casesIt is built mainly around customer and employee support scenarios, not general-purpose AI monitoring.
Key features
Hallucination detectionIt catches hallucinations and other output errors in real time.
Human remediation workflowNon-technical teams can fix flagged responses through a guided workflow.
Trust scoringIt generates real-time trust scores for AI-generated responses.
AI-to-human escalationIt routes difficult cases from the AI agent to a human agent.