Orchestrating AI-Ready Data for Government Missions
Government agencies generate and rely on massive amounts of information, yet 80% of this data is trapped in unstructured formats, making it difficult to access, analyze, and integrate into AI-driven systems. This leads to information silos, inefficient decision-making, and delayed operational insights.
Until now.
Unstructured provides a scalable, mission-ready platform for transforming raw, unstructured data into AI-ready formats, enabling seamless integration into AI, analytics, and decision-support systems. Our technology ingests, preprocesses, and orchestrates data across multiple formats—including PDFs, Microsoft Office files, and other document types—capturing unstructured data wherever it lives and transforming it into AI-friendly JSON files, making human-generated information instantly usable for AI/ML applications. Whether supporting Retrieval-Augmented Generation (RAG), large-scale analytics, or decision-making workflows, Unstructured delivers a turnkey solution that automates the transformation of raw documents into structured, enriched data, eliminating the bottlenecks of manual data preparation and ensuring organizations can unlock the full value of their information.
Supporting over 60 file types and integrating with platforms like SharePoint, S3, Databricks, Neo4j, and more, Unstructured allows agencies to eliminate brittle, manual data pipelines and replace them with an automated, adaptable ingestion and transformation pipeline. Our modular, interoperable architecture ensures that agencies can plug in any third-party model without vendor lock-in—continuously hydrating AI workflows with structured, enriched data at scale.
Unlike traditional data extraction tools, Unstructured goes beyond simple text parsing—our intelligent orchestration engine dynamically identifies document structures, including headers, tables, lists, images, and metadata, ensuring that AI models and analytics receive accurate, context-aware data rather than just raw text. Our adaptive preprocessing techniques, including VLM-based partitioning for complex layouts, automatically determine the optimal processing strategy for each page. This ensures that even image-heavy, dense, or highly formatted documents are transformed efficiently—without over-processing simpler pages.
With Unstructured, agencies can reduce the time, cost, and complexity of preparing data for AI and analytics—freeing up resources to focus on mission-critical applications.
Today, Unstructured has over 22M product downloads, is used by over 60,000 companies, and included in over 10,500 GitHub repositories.
