Cleanlab

What is Cleanlab?

Cleanlab is a management platform focused on improving the reliability of generative AI and large language models by automatically detecting, scoring, and resolving errors such as hallucinations, retrieval failures, and knowledge gaps. It provides trustworthiness scores for every AI response, enabling businesses to deploy AI systems with production-grade accuracy and confidence. Cleanlab’s technology integrates seamlessly with existing AI workflows, enhancing data curation, labeling, and decision-making processes across various enterprise applications.

Key Features

• Trustworthiness Scoring

  Assigns a reliability score to each AI output, allowing users to identify and filter out hallucinated or incorrect responses in real time.

• Automated Error Detection and Resolution

  Automatically detects AI failures caused by data or retrieval issues and resolves them to improve overall model accuracy beyond 95%.

• Seamless Integration with Existing Models

  Works as a layer on top of popular LLMs like GPT-4, Claude, and others, enhancing their outputs without replacing them.

• Advanced Data Curation and Labeling

  Supports automated data quality checks and efficient labeling workflows to reduce manual effort and improve training datasets.

• Enterprise-Grade Reliability

  Designed for high-stakes business applications requiring trustworthy AI, including customer service, compliance, and document processing.

Use Cases

• Reliable Customer Support : Enhances chatbot accuracy by filtering unreliable responses, ensuring customers receive trustworthy and consistent information.
• Data Labeling Automation : Reduces time and cost of manual data annotation by automatically identifying and correcting labeling errors.
• Document and Data Extraction : Improves accuracy in extracting complex information from documents and datasets by reducing AI hallucinations.
• Retrieval-Augmented Generation (RAG) : Boosts the reliability of AI systems that generate responses based on retrieved knowledge, minimizing errors from faulty context.
• Business Decision Support : Provides trustworthy AI outputs for critical decision-making processes, enhancing confidence in automated systems.

FAQs