Cambridge, MA - Cleanlab, a pioneering software development company that builds the world's most reliable data-centric machine learning (ML) tools for the public, has successfully raised $5 million in a seed funding round led by Bain Capital Ventures. The investment will empower Cleanlab to further revolutionize the data-correcting landscape, enabling businesses to deploy robust ML models effortlessly and efficiently.

Founded by Curtis Northcutt and originating from MIT, Cleanlab has gained recognition for its innovative approach to enhancing enterprise data accuracy and ensuring seamless ML model deployment. Fortune 500 companies have already experienced the value of Cleanlab's cutting-edge technology, which provides a no-code platform that automates the process of fixing data errors, thereby enhancing data quality for ML applications.

"We are thrilled to have secured this substantial investment led by Bain Capital Ventures," said Curtis Northcutt, Founder of Cleanlab. "This funding will enable us to accelerate our mission of revolutionizing the way businesses use machine learning by providing reliable and transparent data-centric tools."

Cleanlab's platform, available at cleanlab.ai/studio/, leverages artificial intelligence to streamline the data correction process. The no-code platform empowers data scientists and professionals to automatically rectify data errors, significantly reducing manual efforts and increasing productivity.

As a testament to their commitment to transparency and scientific advancement, Cleanlab actively contributes to the ML community. A significant portion of their cutting-edge research is publicly published, allowing other researchers and professionals to build upon their work. Interested individuals can access their research at cleanlab.ai/research/.