Cleanlab develops a data-centric artificial intelligence (DCAI) to help companies improve the quality of their datasets. It handles the entire data quality and data-centric AI pipeline in a single framework for analytics and machine learning tasks.

Cleanlab

Curtis Northcutt

Pioneered at MIT and proven at Fortune 500 companies, Cleanlab offers the world's easiest-to-use Data-Centric AI software. Use AI to correct your enterprise data -- Cleanlab's no-code platform helps you automatically fix data errors and deploy robust ML models for real-world data. Turn unreliable raw data into reliable models/insights, faster. What can I get from Cleanlab software? 1. Automated validation of your data sources (quality assurance for your data team). Your company's data is your competitive advantage, don't let noise dilute its value. 2. Better version of your dataset. Use the auto-corrected dataset produced by Cleanlab in place of your original dataset to get more reliable ML/Analytics (without any change in your existing code). 3. Better ML deployment (reduced time to deployment & more reliable predictions). Let Cleanlab automatically handle the full ML stack for you! With just a few clicks, deploy more accurate models than fine-tuned OpenAI LLMs for text data and the state-of-art for tabular/image data. All of this works for image, text, and tabular data (as well as with any machine learning models: LLMs & Foundation models, Vision Transformers, CNNs, XGBoost, etc). Most of our cutting-edge research powering Cleanlab tools is published for transparency and scientific advancement: cleanlab.ai/research/

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