Cleanlab TLM is an add-on for GenAI systems that attaches a confidence score to every language model response. It works with LLMs, RAG pipelines, and agents, and can be added with minimal code changes without redesigning your architecture.
Confidence scoring for every output
Cleanlab TLM assigns a numeric trust score to each model answer. You can use these scores to decide what happens next:
Filter or block risky responses
Send low-confidence outputs to human review
Route uncertain answers to a fallback model or workflow
Auto-approve high-confidence responses in production
Smart routing and quality control
TLM supports smart routing across multiple models so complex or high-stakes requests can be handled by more reliable configurations. Confidence-scored logs make it easier to audit behavior, debug failures, and monitor GenAI quality over time—especially in enterprise environments.
Developer and data team tooling
Cleanlab provides documentation, code examples, and an interface for interacting with TLM. This helps teams integrate into existing pipelines and quickly test confidence thresholds and decision strategies based on model outputs.
