Cleanlab - Reliable AI Management Platform

Cleanlab Reliable AI Management Platform

What is Cleanlab?

Cleanlab adds automation and trust to every data point going in and every prediction coming out of AI and RAG solutions. It automates detection and resolution of bad GenAI responses caused by retrieval failures, hallucinations, and knowledge gaps—improving AI accuracy from 50–80% to production-grade 95%+.

Cleanlab is the management platform for Reliable AI, enabling businesses to detect, observe, and resolve AI failures in real time. Cleanlab ensures trust in RAG and Agentic AI systems by closing hallucinations, retrieval failures, and knowledge gaps, providing trust scores for all AI outputs.

Features

Real-time Detection: Detect LLM hallucinations, bad retrieval, and unreliable RAG responses in real-time production GenAI systems.
Trustworthiness Scores: Provides reliable trustworthiness scores for every LLM response.
AI-Automated Data Labeling: Cut labeling costs with TLM trustworthiness score for accurate AI-powered auto-labeling.
Document Processing and Extraction: Enables reliable document processing and extraction of data from unstructured text documents by providing both the extracted information and a trustworthiness score.

Use Cases

Improving the reliability of GenAI and RAG systems.
Automating data labeling with high accuracy.
Reliable document processing and data extraction.
Detecting and resolving AI failures in real time.
Ensuring trust in AI system outputs.

FAQs

How can I best use your software in my Data / AI projects?

For Enterprises, we offer Proof-of-Value services where our engineers will run the software on your data to show you why thousands of data scientists across all industries use Cleanlab software. Learn more in a demo. We also offer non-AGPL licenses for the Open-Source packages that come with support from our engineers, as properly using these packages requires ML expertise.
How does Cleanlab Studio compare to existing software and fit into my workflows?

Since Cleanlab Studio is a novel type of Data-Centric AI platform based on years of research from our team, it can be tricky to understand in terms of existing tools (no other tool like this exists). Read our blogpost that situates Cleanlab Studio in the landscape of existing software tools and Data/AI workflows.
Where can I learn more about the differences between Cleanlab Studio and the Open-Source package?

Read our blogpost that details the differences.
Do you offer discounts for academic research and small startups?

Absolutely, we enthusiastically support research (and publish a lot ourselves) and new innovative organizations. Just email: sales@cleanlab.ai
Can one person really handle: labeling & curating a big dataset + training and deploying a reliable ML model on it?

Absolutely, there have been many stories of a single data scientist or engineer building deployed ML applications from scratch at their company in days. This is possible because Cleanlab Studio automates lots of the work for you, leaving you to only handle the most impactful decisions (and you can do it all without having to write code). Cleanlab Studio offers automated support for: data labeling, data issue detection and correction, ML model training with hyperparameter-tuning and model-selection, and ML model deployment to serve predictions.