Business Intelligence & Analytics
Cleanlab’s AI automatically detects incorrect values and other issues lurking in your dataset (outliers, near duplicates, low-quality examples, non-IID sampling, etc). This includes errors in associated metadata (e.g. annotations or tags for images/documents).
HOW CLEANLAB CAN IMPROVE YOUR DATA ANALYSIS
Related applications
Foundation and Large Language Models
Data Annotation & Crowdsourcing
Data Entry, Management, and Curation
Customer Service
Content Moderation
Cleanlab Studio auto-corrects raw data to ensure reliable analytics so you can make good decisions.

Estimating Wake-Word False Accept Rates of Smart Speaker
Google used Cleanlab to estimate how often its assistant devices mis-respond to the wake-word “Hey Google”.
Amazon used Cleanlab to estimate how often its assistant devices mis-respond to the wake-word “Alexa”.
These estimation problems are challenging due to incomplete data and erroneous labels. Learn more.
E-commerce analytics
Cleanlab Studio was used to improve an E-commerce website, product listings, and analytics. Finding and fixing errors in product descriptions/metadata can be entirely automated, and improves: customer experience, product discoverability, SEO, advertising, as well as analytics/decision-making.
Read more: Enhancing Product Analytics and E-commerce with Cleanlab Studio
