Cleanlab

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Cleanlab adds automation and trust to every data point going in and every prediction coming out of AI and GenAI solutions.0
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What is Cleanlab?

Cleanlab emerges as the ultimate AI solution for data curation, boasting a powerful platform that automatically detects and corrects data errors, from label issues to outliers and inconsistencies, drastically improving AI model reliability and efficiency. Pioneered at MIT, this cutting-edge technology transforms datasets into pristine repositories, ensuring that every piece of data entering AI systems is trustworthy and error-free, enhancing model performance and reducing the time-consuming manual tasks traditionally associated with data quality management.

Key Features:

  1. Auto Data Curation:Cleanlab's AI autonomously analyzes data for errors like label discrepancies, PII, NSFW content, duplicates, and outlier data, refining datasets for optimal AI model training.

  2. Analytics Insights:It provides detailed analytics on data quality, helping teams quantify annotator accuracy and measure the impact of data errors on model performance.

  3. Trustworthy Language Model (TLM):Reduces AI hallucinations, ensuring accurate data and predictions, making it ideal for business intelligence, analytics, and ML models.

  4. Model Deployment and Improvement:Facilitates the swift deployment and continuous improvement of models with a dashboard that monitors trustworthiness scores and suggests auto-fixes.

  5. Scalable and Secure Enterprise Solutions:Designed for integration with enterprise data, Cleanlab offers private cloud deployment options and top-notch security measures for sensitive data handling.

Use Cases:

  1. An e-commerce platform uses Cleanlab to optimize product recommendation algorithms by eliminating label errors in their vast product catalog, enhancing customer experience and boosting sales.

  2. A healthcare provider applies Cleanlab to its medical records, significantly reducing data entry errors, leading to improved patient care and better outcomes from hospital analytics.

  3. A financial institution integrates Cleanlab into its risk assessment models, ensuring data integrity and enhancing the accuracy of credit evaluations, saving millions in unnecessary risk adjustments.

Conclusion:

With Cleanlab Studio, trust every data point you feed into your AI systems. Save up to 80% on data quality management time and reduce labeling costs by 50 times. Experience AI without hallucinations, where your models are not only faster to produce but also yield 50% more output for less effort. From MIT's pioneers comes a solution that makes AI a reality for everyone, committed to excellence, security, and scalability.


More information on Cleanlab

Launched
2021-06
Pricing Model
Free Trial
Starting Price
Global Rank
892951
Follow
Month Visit
31K
Tech used
Google Analytics,Google Tag Manager,HubSpot Analytics,LinkedIn Insights,Google Fonts,Next.js,Vercel,Gzip,OpenGraph,Webpack,HSTS

Top 5 Countries

48.58%
9.87%
8.36%
6.96%
4.78%
United States Vietnam Germany India Turkey

Traffic Sources

5.78%
0.78%
0.08%
10.08%
39.59%
43.65%
social paidReferrals mail referrals search direct
Source: Similarweb (Sep 24, 2025)
Cleanlab was manually vetted by our editorial team and was first featured on 2024-08-05.
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