Keep AI mistakes away from your customers.

Detect and remediate incorrect responses from any AI Agent — ensuring every output meets your standards for safety, compliance, and trust.

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Diagram showing Cleanlab's AI data quality platform with visual elements representing AI agent workflow, detection, and remediation capabilities

Make AI Agents production-ready with the right controls.

Detect

Catch AI mistakes in real time

Automatically identify and prevent poor responses from your AI with guardrails for hallucinations, retrieval errors, documentation gaps, policy violations, malicious use, and more.

Diagram showing how Codex detects AI mistakes in real-time, including hallucinations, retrieval errors, and knowledge gaps

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REMEDIATE

Quickly fix AI and Knowledge Base issues

Empower non-technical teams with the fastest human-in-the-loop workflow to control and improve AI responses where accuracy, safety, and trust matter most.

Diagram showing how Codex remediates AI issues through human-in-the-loop workflow, enabling teams to fix AI responses and knowledge base problems

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Confidently deploy high-stakes AI applications.

Customer Support AI Agents

Maximize AI impact, minimize brand risk.

Cleanlab helps customer support teams deploy trustworthy AI that delivers results without compromising user experience.

Escalates smoothly from AI to human support.
Empowers teams to refine answers, sources, and guardrails.
Moves support team safely from static to AI-powered responses.

Employee-facing AI Agents

Build AI Agents that your team can trust.

Cleanlab helps you deploy reliable AI faster by reducing the time it takes to make new capabilities safe for production.

Mitigates AI failures with real-time trust scores and guardrails.
Empowers SMEs to improve AI apps without writing code.
Automates safety by combining agents with human oversight.

Flexible deployment options.

Cleanlab works with any AI system or Knowledge Base. It deploys as an independent layer that adds safety, control, and trust without requiring changes to your existing stack.