Solutions

Announcing | TLM (Trustworthy Language Model) for reliable LLM outputs.Learn more.

Announcing | TLM (Trustworthy Language Model) for reliable LLM outputs.Learn more.

Industries

Data and Tech Consulting

Find errors in clients’ data, inform them which data needs review, deploy robust ML models, and efficiently annotate client data.

Detect errors in documents and their metadata, improve annotations from paralegals, and obtain more accurate document intelligence via data-centric AI.

Financial Services & Insurance

Ensure high-quality data and models are used in key processes like fraud detection, customer interaction, or risk assessment.

E-Commerce & Retail

Ensure accurate information in your website, customer reviews, and internal data. Deploy more reliable ML models trained using more accurate information.

Manufacturing & Agriculture

Better results in quality control applications with noisy data (e.g. image recognition and other computer vision tasks). Seamlessly handle mislabeled data, outliers/anomalies, ambiguous instances.

Detect annotation errors in data, outliers (e.g. anomalous patients/records), ambiguous cases, and bad decisions (e.g. mis-diagnoses/prescriptions).

applications

Data Entry, Management, and Curation

Use AI software to ensure your data are free of errors and other issues.

Foundation and Large Language Models

Fix data issues to better evaluate, fine-tune, or train foundation models for supervised learning and generative AI. Train and deploy foundation models on real-world data with a few clicks.

Business Intelligence & Analytics

Draw more accurate conclusions from data free of errors and other problems.

Data Annotation & Crowdsourcing

Software to help you annotate your data efficiently and reliably. Accurately assess the quality of different annotators and data providers.

Customer Service

Fix common issues in customer data, and deploy robust ML models to better understand customers and handle their requests.

Content Moderation

Find labeling errors, decide when another review is appropriate, discover good/bad moderators, and deploy robust ML models with 1-click.

Cleanlab tools are general purpose and have been used to improve datasets in other industries also including:Marketing, Logistics & Supply Chain, Life Sciences, Media & Entertainment, Telecom, Utilities, Government.Other past applications of Cleanlab have included: Information Extraction/Verification, Document Analysis, Imaging Data, Sensor Data, Survey Data.

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