What is Cleanlab?
Cleanlab adds automation and trust to every data point used in analytics, LLMs, and AI solutions. Our team is made of experts and inventors in AI/ML research and data security with a keen sense for solutions that work in the real world.
Cleanlab is built around 4 key pillars
- Security-first: Protect your data with industry-standard security, whether using our SaaS or VPC-enabled no-data-share options.
- Scalability: Adapt seamlessly from small to big data and handle growing datasets with ease.
- Reliability: Ensure every data point is dependable, enhancing the quality of your data-driven solutions.
- Generality: Identify and fix errors in any dataset, regardless of data type and problem at hand, to guarantee robust models and reliable analytics.
What is Cleanlab Studio?
Cleanlab Studio is an intuitive, no-code, data-agnostic application for robust data curation and instant ML deployment, offering an all-in-one solution to improve data quality and enhance machine learning performance. With Cleanlab's automated tools, effortlessly correct errors, fix common issues, and enrich messy real-world datasets with valuable metadata. The result: more reliable ML models and analytics, all with the ease of a no-code platform.
Data Supported: Cleanlab Studio accommodates a broad range of data formats, including tabular, text, image, video, and audio. Cleanlab Studio also accommodates a variety of sources to fit into your ecosystem - local data storage, AWS, web links and even directories of heterogenous file types can all be utilized seamlessly with Cleanlab Studio without requiring preprocessing.

Key features that make Cleanlab Studio unique
- Turn Your Dataset Into a Cleanset: Cleanlab refines and curates your data by correcting information errors, addressing common issues, and automatically adding useful metadata. Use this improved dataset to boost ML model reliability and analytics outcomes.
- Automated Data Validation: Instantly assure data quality with AI-powered Cleanlab, leveraging Confident Learning to detect label errors, outliers, duplicates, data drift, and low-quality examples, significantly reducing manual validation efforts.
- Optimized ML Models: Deploy more accurate models with a single click, utilizing AutoML technology that integrates with pre-trained foundation and LLM models. Models are instantly deployable via REST API or the no-code platform.
- Trustworthy Language Model: The only LLM that makes LLMs possible for high stakes situations. Cleanlab TLM empowers you to autoroute LLM pipelines with confidence. Learn more about TLM here.
- Enhanced Security for Sensitive Data: Some datasets require privacy beyond Cleanlab’s already top-tier security. Cleanlab Studio is deployable within your Virtual Private Cloud (VPC) for you to manage regular, rigorous security testing and isolated network environments, minimize exposure and provide granular control over network configurations and access permissions.

Top ROI Benefits
- Data Quality Assurance: Ensure data and label quality with automated checks for every dataset.
- Time and Cost Savings: Cut down data quality management time by a third and reduce labeling costs by 5x to 50x.
Industry Solution Highlights
- Improved Customer Service Workloads: Integrating our TLM with a certainty score into your customer service pipeline allows for automated responses with confidence levels, enabling seamless handoffs to human agents when certainty is low, ensuring that complex inquiries receive accurate and personalized attention while efficiently managing simpler queries.
- Deploy massive e-commerce catalogs with confidence: Ensure accurate information in your website, product listings, and customer reviews, automatically and scaled to datasets with millions of rows.
- Trusted Assessments for Finance and Insurance Industries: Use AI solutions from Cleanlab to ensure high-quality data and models are used in key processes like: fraud detection, customer interaction, or risk assessment.
Recognized as an Industry Leader in AI
Cleanlab has been featured as an industry leader by Forbes and CB Insights.
2024
AI 50
Listed among the 50 most innovative firms driving advancements and commercial applications in AI.
2024
AI 100
Listed among the most promising private companies applying AI across industries and around the world.
2023
GenAI 50
Listed among the top 50 private companies leading advancements in generative AI technology.
Who Uses Cleanlab?
Cleanlab is the preferred tool for thousands of individuals who handle data at leading firms. Cleanlab's innovative workflow combines reliable automated data correction, quality analysis, and model deployment without requiring complex code or parameter tuning.
To learn more about Cleanlab, check out our FAQs.
Our Team
Our team is led by CEO Curtis Northcutt, who pioneered Confident Learning research at MIT and released its groundbreaking open-source library, rapidly gaining acclaim among elite data scientists. Cleanlab Studio was born as Curtis brought on Jonas Mueller, the leading contributor to Amazon's AutoGluon, as Chief Scientist, and Anish Athalye, a renowned developer and expert security engineer, as CTO. Learn more about our team.