Cleanlab

Cleanlab helps you identify and fix hallucinations in Large Language Models before they reach users. Hallucinations occur when LLMs generate plausible-sounding but factually incorrect information, which can damage trust and cause real harm in production systems. Cleanlab's Trust Language Model (TLM) analyses LLM outputs to flag unreliable responses with high accuracy, allowing you to catch problems early. The tool works across any LLM application, whether you're using OpenAI, Anthropic, open-source models, or your own fine-tuned versions. Rather than replacing your existing setup, Cleanlab sits alongside your LLM to provide confidence scores on generated text. You can then decide whether to ask the model to regenerate, route requests to human reviewers, or adjust your prompts. This approach makes it practical for teams who need quality control without rebuilding their entire system.