GenAI you can trust.
Cleanlab adds trust to all data going in and responses coming out of AI, RAG, and GenAI solutions.
Experience GenAI that doesn't hallucinate.
Automatically detect and fix data issues that negatively impact your revenue, and significantly reduce the time and cost associated with improving analytics, LLM, and ML/AI solutions built on imperfect data.
80%
Time saved
Cut down data quality management time and reduce labeling costs by 5x to 50x.
10x
Faster production
Instantly assure data quality with AI-powered checks for every datapoint.
50%
More output
Increase the output of your team for the same level of effort.
Our solutions
Cleanlab Studio is an AI-powered data curation platform that automates essential data science and engineering tasks for AI model and data improvement. It refines and curates your data by correcting information errors, addressing common issues, and automatically adding intelligent metadata to each data point, improving reliability for tasks like training ML models, business intelligence, and analytics.
Automatically improve your dataset. No code required.
Our AI automatically detects label errors, outliers, PII, NSFW, near duplicates, drift, low-quality image examples like dark/blurry, under/over-exposed, and more.Explore interactive demo
Data curation
Automatically improve your dataset. No code required.
Our AI automatically detects label errors, outliers, PII, NSFW, near duplicates, drift, low-quality image examples like dark/blurry, under/over-exposed, and more.Explore interactive demo
Detect hallucinations
Detect hallucinations in production-ready GenAI systems with reliable trustworthiness scores for every LLM output.
Cleanlab’s Trustworthy Language Model (TLM) produces higher quality outputs than the leading LLMs using built-in hallucination detection, observability, and trustworthiness scores for every response-- enabling production-grade automation with LLMs where hallucinations are a show-stopper. Learn more about TLM
Automated labeling
AI-automated data labeling.
Our AI-automated data labeling is domain-specific and we guarantee better results than third-party data annotation tools. Cleanlab automatically labels most of your data using Foundation model confidence-scores, and then suggest which data is best to label or re-label next using active learning.Get started for free
Analytics
Explore analytics, summaries, and specific issues within your datasets.
Find the classes in your dataset with the most label issues and explore the entire heatmap of suggested corrections for all classes in your dataset. Estimate consensus and annotator-quality for datasets labeled by multiple annotators.Get started for free
Model deployment
Automatically train, tune, and deploy robust models via the world’s most advanced AutoML.
Automated pipeline does all ML for you: data preprocessing, foundation model fine-tuning, hyperparameter tuning, and model selection. ML models are used to diagnose data issues, and then can be re-trained on your corrected dataset with one click.Read tutorial
Pioneered at MIT and trusted by hundreds of top organizations. Read our story.
