Trustworthy Language Model (TLM)

Trustworthy Language Model (TLM) provides controls to detect and remediate incorrect AI outputs, aiming to keep responses safe, accurate, and aligned with business goals. It targets teams building production AI agents who need guardrails, monitoring, and trusted outputs across customer or internal use cases.

The tool works by evaluating AI outputs in real time, scoring trust and accuracy, and offering workflows that guide escalation to human review or safe fallbacks when needed. It is designed to integrate with existing AI systems and knowledge bases as an independent safety layer.

Core capabilities include real-time detection of hallucinations and other issues, guardrails to enforce safety and policy compliance, and human-in-the-loop workflows to improve response quality without heavy technical work. The platform emphasizes deployment options that fit different cloud and infrastructure preferences.

Cleanlab positions the solution for deployment in varying environments, offering SaaS and private cloud options (such as VPC) to maintain control, and supports integration with multiple AI and knowledge-base setups, maintaining safety and trust at scale.

Use cases

• Customer support AI agents that escalate unsafe responses to humans
• Employee-facing AI that improves safety with trust scores