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 54 products in the Observability & Analytics category. View all Cleanlab alternatives.
Guardrails AI
Open-source framework for adding input and output validators around LLM calls
Dunetrace
Runtime reliability and failure detection for AI agents
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