Unstructured is an enterprise ETL tool that extracts and transforms complex unstructured data from various formats into clean, AI-friendly JSON files for integration with large language models. This platform addresses the challenge of utilizing the majority of enterprise data, which exists in difficult-to-use formats, by enabling data scientists to focus on modeling and analysis rather than data cleaning.
Funding
$68.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
A significant portion of enterprise data resides in unstructured formats like HTML, PDF, and PPTX, making it difficult to integrate with large language models (LLMs) and other AI applications. Extracting and transforming this data into a usable format requires extensive preprocessing, diverting data scientists from higher-value tasks.
Solution
Unstructured provides an enterprise-grade ETL platform that extracts, cleans, and transforms unstructured data from various sources into AI-ready JSON files. The platform connects to diverse data sources, processes documents of any file type and layout, and delivers curated data suitable for use with vector databases and LLM frameworks. By automating data preprocessing at scale, Unstructured enables data scientists to focus on modeling and analysis, accelerating the development and deployment of AI-powered solutions.
Target Audience
The primary target audience includes data scientists, machine learning engineers, and AI application developers working in enterprises that need to process large volumes of unstructured data for use with LLMs.
Features
- Connectors for various enterprise data sources, including HTML, PDF, CSV, PNG, and PPTX files.
- Automated data extraction and transformation into AI-friendly JSON format.
- Preprocessing capabilities to clean artifacts and curate data for LLM integration.
- Compatibility with major vector databases and LLM frameworks.
- Scalable data processing for enterprise-level deployments.