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Cleanlab

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Trust layer that detects and fixes wrong or unsafe AI-agent responses like hallucinations before they reach users.

What it does

Cleanlab provides a guardrail and remediation layer over any AI agent or knowledge base to catch incorrect, unsafe or non-compliant responses in real time. It scores output trustworthiness, flags hallucinations and retrieval errors, and gives non-technical teams a human-in-the-loop workflow to fix answers, deployable as SaaS or in-VPC.

Core features

Real-time detection of AI errors and hallucinations
Trust/confidence scoring on responses
Human-in-the-loop remediation workflow
Guardrails for policy and compliance
Works with any AI system and knowledge base
SaaS or VPC deployment

Best for

Make customer-support AI agents production-safe
Reduce hallucinations in enterprise LLM apps
Enforce compliance on AI outputs
Improve knowledge-base answer quality