Cleanlab
Real-time detection and remediation of incorrect, unsafe, or non-compliant AI agent responses
Cleanlab is a runtime validation layer for AI agents and LLM apps. Its Codex product detects hallucinations, retrieval errors, and policy violations in real time, and pairs detection with human-in-the-loop remediation and knowledge-base fixes.
It runs as an independent layer that scores responses without changing the underlying stack, and integrates with OpenAI, Anthropic, Azure, AWS, and others. Available as SaaS or private VPC deployment.
Pricing: Free trial
Cleanlab Alternatives
Explore 45 products in the Observability & Analytics category. View all Cleanlab alternatives.
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Open-source evaluation and testing framework for LLM and RAG applications
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Open-source framework for adding input and output validators around LLM calls
NeMo Guardrails
NVIDIA toolkit for adding programmable guardrails to LLM conversational apps
Presidio
Microsoft open-source SDK for detecting and anonymizing PII in text and images
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