Cleanlab
Cleanlab Studio provides a comprehensive framework for data quality and data-centric AI, offering features like data curation, AutoML, and model deployment. Its technology is used by top organizations and has been recognized for its innovation in Generative AI.
Cleanlab Services
Cleanlab Studio provides a comprehensive framework for managing the entire data quality and data-centric AI pipeline. It includes features like data curation, AutoML, model deployment, and diagnostics. The platform can automatically improve datasets without any need for coding. It helps in automatically finding and fixing data issues, such as outliers, ambiguous data, and incorrectly labeled data. Moreover, Cleanlab's AI capabilities extend to automated support for data labeling, data issue detection and correction, ML model training, and deployment.
Cleanlab Products
Cleanlab Studio offers a single platform to handle data quality and AI tasks efficiently. The platform provides real-time and batch inference through a web interface or REST API and interfaces directly with various data storage solutions, including local data files, data warehouses, and cloud storage. Additionally, Cleanlab's Trustworthy Language Model (TLM) provides a trustworthiness score to every LLM response, useful for chatbots, auto-labeling, data extraction, and retrieval-augmented generation. Cleanlab's open-source library is also widely used for practicing Data-Centric AI.
Cleanlab Sector
Cleanlab operates within the data quality and data-centric AI sectors. Their technology is designed to improve datasets across various industries, including healthcare, financial services, e-commerce, and manufacturing. Applications of Cleanlab's AI technology include fraud detection, customer interaction, and risk assessment in financial services. Additionally, the AI can assist with content moderation by detecting unsafe or low-quality content in image and text datasets.
Cleanlab Enterprise Applications
Cleanlab's solutions are designed with enterprise scalability and security in mind. Their platform supports large-scale dataset management and is used by top organizations like Google, Amazon, and BBVA to enhance data quality and model accuracy. The Trustworthy Language Model (TLM) is tailored for enterprise applications, providing reliable and scalable AI solutions suited for large datasets. Enterprises can use Cleanlab's AI capabilities to significantly reduce label costs and improve model accuracy in various high-stakes applications.
Cleanlab Funding and Recognition
Cleanlab has garnered substantial recognition and funding. The company raised $25 million in Series A funding aimed at enhancing its data-centric AI software. Additionally, Cleanlab has been highlighted by CB Insights as one of the 50 most innovative Generative AI companies. This recognition is underscored by the practical applications of Cleanlab's technology in organizations like Google, Amazon, and BBVA, which employ the platform to maintain high data quality and achieve increased model accuracy.