Cleanlab Raises $25M Series A to Automatically Increase the Value and Accuracy of the World’s Enterprise Data Used by AI, ML, and Analytics Solutions
Summary
The teams proprietary approach to automated data curation builds upon the "confident learning" field created by the Cleanlab team, enabling them to pioneer an enterprise-ready product.Today, over 10% of Fortune 500 companies (including AWS, JPMorgan Chase, Google, Oracle, and Walmart) and a variety of innovative startups (like ByteDance, HuggingFace, and Databricks) use Cleanlab to find and fix problems in sizable structured and unstructured visual, text, and tabular datasets. TLM extends Cleanlab Studios capabilities to add intelligent metadata to help automate reliability and quality assurance for systems that rely on LLM outputs, synthetic data, and generated content. "After working with companies like Microsoft and Tesla to get their AI-driven products to function better and helping MIT and Harvard detect cheating, it became clear that mislabeled and poorly curated data was the core issue behind these challenges," said Cleanlab Co-Founder and CEO Curtis Northcutt. ""While most of the investment in generative AI is chasing the biggest, baddest, and best model, the reality is that there is a massive complimentary opportunity that can shave billions off those efforts and lead to a better outcome. Thats why we support businesses, including Anthropic, Carta, Chime, Harness, Poshmark, Pillpack, Pinecone, Roku, Rover, Uber, and Warby Parker, that are reimagining life and work for the better.