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Unstructured addresses a significant challenge many enterprises face: leveraging their vast amounts of unstructured data for use with large language models (LLMs) and other AI applications. Customers often struggle with data in various formats like PDFs, Word documents, PowerPoint presentations, HTML files, images, and more, which are not readily usable by machine learning models. This is where Unstructured steps in, providing solutions to automate the preprocessing of this messy, human-generated data. Our platform transforms raw data into clean, structured formats, making it compatible with LLMs for tasks such as fine-tuning, pre-training, and Retrieval Augmented Generation (RAG).

Our customers need to unlock the potential of their internal data to enhance productivity, drive innovation, and gain actionable intelligence. Unstructured offers open-source libraries and commercial API products designed to simplify and accelerate this data transformation process. We enable organizations to connect their enterprise data, regardless of file type or layout, to LLMs efficiently. This means data scientists and engineers no longer need to spend the majority of their time on the laborious task of data preprocessing, which traditionally involves building custom, brittle pipelines for each data type. By providing robust tools for data ingestion, partitioning, cleaning, and staging, Unstructured empowers businesses to build powerful AI applications based on their own specific, high-quality data, rather than relying solely on generic, pre-trained models. This allows for more accurate, relevant, and secure AI-driven insights and workflows.