Cleanlab

Cleanlab provides tools to identify and fix hallucinations in large language model applications. LLMs occasionally generate plausible-sounding but incorrect information, which can damage trust in customer-facing systems and lead to poor business decisions. Cleanlab's approach focuses on detecting when an LLM is likely to produce unreliable output, allowing you to handle those cases before they reach users. The tool works by analysing model confidence and consistency patterns to flag responses that may be hallucinated or unreliable. This is particularly useful for organisations building AI features into products where accuracy matters: customer support, content generation, research tools, or decision-support systems. Rather than replacing your LLM, Cleanlab works alongside it to add a verification layer.